Running ‘test-all.R’ [347s/563s]
Running the tests in ‘tests/test-all.R’ failed.
Complete output:
  > library(testthat)
  > test_check("EpiModel")
  Loading required package: EpiModel
  Loading required package: deSolve
  Loading required package: networkDynamic
  Loading required package: network
  
  'network' 1.18.2 (2023-12-04), part of the Statnet Project
  * 'news(package="network")' for changes since last version
  * 'citation("network")' for citation information
  * 'https://statnet.org' for help, support, and other information
  
  
  'networkDynamic' 0.11.4 (2023-12-10?), part of the Statnet Project
  * 'news(package="networkDynamic")' for changes since last version
  * 'citation("networkDynamic")' for citation information
  * 'https://statnet.org' for help, support, and other information
  
  Loading required package: tergm
  Loading required package: ergm
  
  'ergm' 4.6.0 (2023-12-17), part of the Statnet Project
  * 'news(package="ergm")' for changes since last version
  * 'citation("ergm")' for citation information
  * 'https://statnet.org' for help, support, and other information
  
  'ergm' 4 is a major update that introduces some backwards-incompatible
  changes. Please type 'news(package="ergm")' for a list of major
  changes.
  
  
  'tergm' 4.2.0 (2023-05-30), part of the Statnet Project
  * 'news(package="tergm")' for changes since last version
  * 'citation("tergm")' for citation information
  * 'https://statnet.org' for help, support, and other information
  
  
  Attaching package: 'tergm'
  
  The following object is masked from 'package:ergm':
  
      snctrl
  
  Loading required package: statnet.common
  
  Attaching package: 'statnet.common'
  
  The following object is masked from 'package:ergm':
  
      snctrl
  
  The following objects are masked from 'package:base':
  
      attr, order
  
  
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statisticsEpiModel Network Diagnostics
  =======================
  Diagnostic Method: Static
  Simulations: 10
  
  Formation Diagnostics
  ----------------------- 
                        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                     50     48.3     -3.4  1.732  -0.981            NA
  offset(deg6+)             NA      0.0       NA    NaN      NA            NA
  nodematch.sex              0      0.0      NaN    NaN     NaN            NA
  nodematch.race            20     20.1      0.5  0.936   0.107            NA
  deg6+                      0      0.0      NaN    NaN     NaN            NA
  offset(nodematch.sex)     NA      0.0       NA    NaN      NA            NA
  degree5                    0      0.0      NaN    NaN     NaN            NA
                        SD(Statistic)
  edges                         5.478
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                2.961
  deg6+                         0.000
  offset(nodematch.sex)         0.000
  degree5                       0.000
  
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
   |**********|
  - Calculating formation statisticsEpiModel Network Diagnostics
  =======================
  Diagnostic Method: Dynamic
  Simulations: 10
  Time Steps per Sim: 5
  
  Formation Diagnostics
  ----------------------- 
                        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                     50    47.70     -4.6  1.160  -1.982         8.107
  offset(deg6+)             NA     0.00       NA    NaN      NA         0.000
  nodematch.sex              0     0.00      NaN    NaN     NaN         0.000
  nodematch.race            20    19.92     -0.4  0.765  -0.105         6.072
  deg6+                      0     0.00      NaN    NaN     NaN         0.000
  offset(nodematch.sex)     NA     0.00       NA    NaN      NA         0.000
  degree5                    0     0.00      NaN    NaN     NaN         0.000
                        SD(Statistic)
  edges                         8.205
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                6.037
  deg6+                         0.000
  offset(nodematch.sex)         0.000
  degree5                       0.000
  
  Duration Diagnostics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.571   -4.291  0.149  -2.886         1.241         1.296
  
  Dissolution Diagnostics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.101    0.657  0.005   0.134          0.02         0.046
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 2
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.5
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 sim2
  Transmissions: sim1 sim2
  
  Formation Statistics
  ----------------------- 
                        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                     50     52.7      5.4  2.642   1.022         9.192
  offset(deg6+)             NA      0.0       NA    NaN      NA         0.000
  nodematch.sex              0      0.0      NaN    NaN     NaN         0.000
  nodematch.race            20     18.1     -9.5  1.059  -1.794         4.101
  deg6+                      0      0.0      NaN    NaN     NaN         0.000
  offset(nodematch.sex)     NA      0.0       NA    NaN      NA         0.000
  degree5                    0      0.0      NaN    NaN     NaN         0.000
                        SD(Statistic)
  edges                         8.354
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                3.348
  deg6+                         0.000
  offset(nodematch.sex)         0.000
  degree5                       0.000
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.364   -6.359  0.325  -1.959         0.825         1.026
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1     0.09  -10.358  0.011  -0.909         0.021         0.036
  
  
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statisticsEpiModel Network Diagnostics
  =======================
  Diagnostic Method: Static
  Simulations: 10
  
  Formation Diagnostics
  ----------------------- 
                        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                     50     49.3     -1.4  1.453  -0.482            NA
  offset(deg6+)             NA      0.0       NA    NaN      NA            NA
  nodematch.sex              0      0.0      NaN    NaN     NaN            NA
  nodematch.race            20     20.7      3.5  1.136   0.616            NA
  deg6+                      0      0.0      NaN    NaN     NaN            NA
  offset(nodematch.sex)     NA      0.0       NA    NaN      NA            NA
  degree5                    0      0.0      NaN    NaN     NaN            NA
                        SD(Statistic)
  edges                         4.596
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                3.592
  deg6+                         0.000
  offset(nodematch.sex)         0.000
  degree5                       0.000
  
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
   |**********|
  - Calculating formation statisticsEpiModel Network Diagnostics
  =======================
  Diagnostic Method: Dynamic
  Simulations: 10
  Time Steps per Sim: 5
  
  Formation Diagnostics
  ----------------------- 
                        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                     50    49.84    -0.32  0.589  -0.272         3.515
  offset(deg6+)             NA     0.00       NA    NaN      NA         0.000
  nodematch.sex              0     0.00      NaN    NaN     NaN         0.000
  nodematch.race            20    21.88     9.40  0.704   2.671         4.872
  deg6+                      0     0.00      NaN    NaN     NaN         0.000
  offset(nodematch.sex)     NA     0.00       NA    NaN      NA         0.000
  degree5                    0     0.00      NaN    NaN     NaN         0.000
                        SD(Statistic)
  edges                         4.167
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                4.935
  deg6+                         0.000
  offset(nodematch.sex)         0.000
  degree5                       0.000
  
  Duration Diagnostics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.639   -3.613  0.148  -2.449         0.972         1.043
  
  Dissolution Diagnostics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.104    4.138  0.005    0.78         0.013         0.038
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 2
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.5
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 sim2
  Transmissions: sim1 sim2
  
  Formation Statistics
  ----------------------- 
                        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                     50     48.5       -3  1.721  -0.872         6.364
  offset(deg6+)             NA      0.0       NA    NaN      NA         0.000
  nodematch.sex              0      0.0      NaN    NaN     NaN         0.000
  nodematch.race            20     23.6       18  0.819   4.394         2.263
  deg6+                      0      0.0      NaN    NaN     NaN         0.000
  offset(nodematch.sex)     NA      0.0       NA    NaN      NA         0.000
  degree5                    0      0.0      NaN    NaN     NaN         0.000
                        SD(Statistic)
  edges                         5.442
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                2.591
  deg6+                         0.000
  offset(nodematch.sex)         0.000
  degree5                       0.000
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.171    1.711  0.277   0.618         0.916         0.875
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.102    1.969   0.01   0.201         0.015         0.031
  
  Network Model Control Settings
  ===============================
  type = SI
  nsteps = 5
  start = 1
  nsims = 3
  ncores = 1
  resimulate.network = FALSE
  tergmLite = FALSE
  cumulative.edgelist = FALSE
  truncate.el.cuml = 0
  module.order =
  save.nwstats = TRUE
  nwstats.formula = <list>
  save.transmat = TRUE
  save.network = TRUE
  save.other = attr temp
  verbose = TRUE
  verbose.int = 1
  skip.check = FALSE
  raw.output = FALSE
  tergmLite.track.duration = TRUE
  save.diss.stats = TRUE
  attr.rules = <list>
  Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 2/5
  Prevalence: 10
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 13
  Population Size: 50
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
           Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  triangle     NA      0.8       NA  0.298      NA         0.917         0.941
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   11.526   15.255  0.273   5.584         0.891         1.058
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.094   -6.003  0.015  -0.397         0.023         0.059
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
           Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  triangle     NA      0.8       NA  0.298      NA         0.917         0.941
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   11.526   15.255  0.273   5.584         0.891         1.058
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.094   -6.003  0.015  -0.397         0.023         0.059
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   26.000    4.000  1.024   0.977         0.721
  nodematch.race     10    9.667   -3.333  0.446  -0.748         0.577
                 SD(Statistic)
  edges                  3.964
  nodematch.race         2.968
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.016     1.57  0.006   2.439         0.014         0.025
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.984   -1.563  0.007  -2.286         0.015         0.026
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
           Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  mean.age     NA    3.651       NA  0.301      NA          0.09         1.166
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   20.221    1.104  0.713    0.31         5.811         5.028
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.056    11.43  0.014   0.398         0.005         0.056
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   17.867       NA  1.359      NA         2.309         5.263
  degree1     NA   18.067       NA  0.652      NA         0.577         3.575
  degree2     NA   10.467       NA  0.544      NA         1.102         3.226
  degree3     NA    2.933       NA  0.419      NA         0.833         1.624
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.021    2.136  0.008   2.749         0.007          0.03
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.972    -2.77  0.011  -2.531         0.006         0.042
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   27.400    9.600  1.672   1.435         7.632
  nodematch.race     10   11.067   10.667  1.035   1.031         4.692
                 SD(Statistic)
  edges                  6.533
  nodematch.race         4.008
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   19.619   -1.905  0.648  -0.588         2.902         2.509
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.042  -16.116  0.007   -1.14         0.008         0.027
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 26
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 27
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 29
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 31
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 35
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 17
  Population Size: 50
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
           Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  triangle     NA    0.636       NA  0.293      NA         0.744         0.783
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.028    0.275  0.623   0.044         1.928         1.861
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.101    0.749  0.007   0.102          0.02         0.066
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
           Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  triangle     NA    0.636       NA  0.293      NA         0.744         0.783
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.028    0.275  0.623   0.044         1.928         1.861
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.101    0.749  0.007   0.102          0.02         0.066
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   24.636   -1.455  0.834  -0.436         0.808
  nodematch.race     10    9.818   -1.818  0.315  -0.577         0.328
                 SD(Statistic)
  edges                  4.197
  nodematch.race         2.952
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1     1.02    2.005  0.002   8.136         0.009         0.029
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.981   -1.854  0.003  -6.701         0.009         0.027
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
           Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  mean.age     NA    5.775       NA  1.017      NA         0.093         2.316
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   16.814   -15.93  0.577   -5.52         1.571         1.881
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.049   -2.736  0.005  -0.283         0.005         0.045
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   18.727       NA  0.780      NA         0.396         4.481
  degree1     NA   19.212       NA  0.614      NA         1.234         3.525
  degree2     NA    8.758       NA  0.608      NA         0.694         3.093
  degree3     NA    2.667       NA  0.116      NA         0.319         1.555
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.024    2.438  0.002   9.791         0.008         0.032
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.973   -2.657  0.004  -7.241         0.004         0.036
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   25.818    3.273  1.516   0.540         6.705
  nodematch.race     10   10.667    6.667  0.710   0.939         4.176
                 SD(Statistic)
  edges                  5.966
  nodematch.race         3.585
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   24.261   21.304  2.288   1.862         7.077         6.895
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.057   13.873  0.007   0.942         0.008         0.044
  
  Network Model Control Settings
  ===============================
  type = SI
  nsteps = 5
  start = 1
  nsims = 3
  ncores = 1
  resimulate.network = TRUE
  tergmLite = FALSE
  cumulative.edgelist = FALSE
  truncate.el.cuml = 0
  module.order =
  save.nwstats = TRUE
  nwstats.formula = <list>
  save.transmat = TRUE
  save.network = TRUE
  save.other = attr temp
  verbose = TRUE
  verbose.int = 1
  skip.check = FALSE
  raw.output = FALSE
  tergmLite.track.duration = TRUE
  save.diss.stats = TRUE
  attr.rules = <list>
  Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 16
  Population Size: 50
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.333       NA  0.154      NA         0.416
  nodefactor.deg.4.1     NA   22.600       NA  1.045      NA         5.333
                     SD(Statistic)
  triangle                   0.488
  nodefactor.deg.4.1         6.544
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   12.509    25.09  0.267   9.381         0.641         1.036
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.067   -32.75  0.015  -2.161         0.019         0.059
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.333       NA  0.154      NA         0.416
  nodefactor.deg.4.1     NA   22.600       NA  1.045      NA         5.333
                     SD(Statistic)
  triangle                   0.488
  nodefactor.deg.4.1         6.544
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   12.509    25.09  0.267   9.381         0.641         1.036
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.067   -32.75  0.015  -2.161         0.019         0.059
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   24.267   -2.933  0.848  -0.865          1.89
  nodematch.race     10    9.200   -8.000  0.649  -1.233          0.20
                 SD(Statistic)
  edges                  3.283
  nodematch.race         2.513
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.026     2.61  0.009   3.007         0.002         0.034
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.974   -2.598  0.009  -3.033         0.002         0.033
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    3.649       NA  0.312      NA         0.019
  nodefactor.deg.2.2     NA    8.933       NA  0.803      NA         2.501
                     SD(Statistic)
  mean.age                   1.207
  nodefactor.deg.2.2         4.399
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   17.981  -10.096  0.385  -5.243         1.495         1.492
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.047    -6.38  0.006  -0.524         0.027         0.049
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   17.133       NA  0.436      NA         2.928         3.852
  degree1     NA   18.067       NA  0.493      NA         0.808         3.173
  degree2     NA    9.200       NA  0.562      NA         2.200         2.757
  degree3     NA    4.267       NA  0.392      NA         0.577         2.052
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.029     2.86  0.008   3.548         0.001         0.031
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.973   -2.732  0.008  -3.585         0.005          0.03
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   22.667   -9.333  1.638  -1.425         7.333
  nodematch.race         10   10.733    7.333  1.049   0.699         4.632
  nodefactor.deg.5.1     NA   18.600       NA  0.254      NA         0.200
                     SD(Statistic)
  edges                      6.343
  nodematch.race             4.061
  nodefactor.deg.5.1         0.986
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   22.626   13.129  0.385   6.818         0.783         1.492
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.054    8.315  0.015   0.275          0.03         0.059
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 23
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 27
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 27
  Population Size: 50
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.152       NA  0.098      NA         0.189
  nodefactor.deg.4.1     NA   20.333       NA  1.070      NA         3.370
                     SD(Statistic)
  triangle                   0.364
  nodefactor.deg.4.1         6.147
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   11.855   18.551  0.661   2.805          1.52         1.834
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.075   -24.55   0.01  -2.576         0.026         0.055
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.152       NA  0.098      NA         0.189
  nodefactor.deg.4.1     NA   20.333       NA  1.070      NA         3.370
                     SD(Statistic)
  triangle                   0.364
  nodefactor.deg.4.1         6.147
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   11.855   18.551  0.661   2.805          1.52         1.834
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.075   -24.55   0.01  -2.576         0.026         0.055
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   25.000    0.000  0.661   0.000         1.756
  nodematch.race     10    9.455   -5.455  0.330  -1.655         0.596
                 SD(Statistic)
  edges                  4.514
  nodematch.race         2.575
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.021    2.079  0.005   4.472         0.002         0.027
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.979   -2.108  0.005  -4.517         0.002         0.027
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    5.951       NA  1.164      NA         0.280
  nodefactor.deg.2.2     NA    9.303       NA  0.889      NA         1.306
                     SD(Statistic)
  mean.age                   2.467
  nodefactor.deg.2.2         5.108
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   25.674   28.372  0.688   8.243         1.626         2.864
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.052    3.156  0.004   0.396          0.01         0.043
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   18.515       NA  0.847      NA         0.605         4.868
  degree1     NA   17.636       NA  0.574      NA         0.545         3.296
  degree2     NA    8.970       NA  0.618      NA         0.262         3.549
  degree3     NA    3.879       NA  0.138      NA         0.605         2.043
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.023    2.336  0.005   4.964         0.006         0.027
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.979   -2.054  0.003  -6.226         0.004         0.024
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   21.848  -12.606  1.571  -2.006         7.588
  nodematch.race         10   10.152    1.515  0.788   0.192         4.691
  nodefactor.deg.5.1     NA   19.848       NA  0.492      NA         0.859
                     SD(Statistic)
  edges                      6.452
  nodematch.race             4.055
  nodefactor.deg.5.1         1.986
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   21.067    5.334  0.745   1.432         4.625          4.05
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.046    -8.32  0.008  -0.507         0.012         0.047
  
  Network Model Control Settings
  ===============================
  type = SI
  nsteps = 5
  start = 1
  nsims = 3
  ncores = 1
  resimulate.network = TRUE
  tergmLite = FALSE
  cumulative.edgelist = FALSE
  truncate.el.cuml = 0
  module.order =
  save.nwstats = TRUE
  nwstats.formula = <list>
  save.transmat = TRUE
  save.network = TRUE
  save.other = attr temp
  verbose = TRUE
  verbose.int = 1
  skip.check = FALSE
  raw.output = FALSE
  tergmLite.track.duration = TRUE
  save.diss.stats = TRUE
  attr.rules = <list>
  Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 11
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 13
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 11
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 12
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 15
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 16
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 12
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 11
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 14
  Population Size: 52
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.000       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA   16.933       NA  1.089      NA         1.137
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         4.217
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.697   -3.031  0.634  -0.478         2.635         2.454
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1     0.17   69.879  0.016   4.267         0.049         0.099
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.000       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA   16.933       NA  1.089      NA         1.137
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         4.217
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.697   -3.031  0.634  -0.478         2.635         2.454
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1     0.17   69.879  0.016   4.267         0.049         0.099
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   25.533    2.133  1.279   0.417         2.139
  nodematch.race     10    9.800   -2.000  0.663  -0.302         1.114
                 SD(Statistic)
  edges                  4.955
  nodematch.race         2.569
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.015    1.499   0.01    1.52         0.012         0.038
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1     0.99   -1.017  0.006  -1.834         0.002         0.021
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    3.719       NA  0.342      NA         0.127
  nodefactor.deg.2.2     NA   10.800       NA  1.432      NA         2.946
                     SD(Statistic)
  mean.age                   1.324
  nodefactor.deg.2.2         5.545
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   17.268   -13.66  0.895  -3.053         3.927         3.466
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.092   83.516  0.012   3.405          0.01         0.047
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   16.733       NA  1.193      NA         0.611         4.621
  degree1     NA   19.933       NA  0.831      NA         0.643         3.218
  degree2     NA   10.000       NA  0.845      NA         1.386         3.273
  degree3     NA    3.000       NA  0.236      NA         0.200         1.558
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.025    2.542   0.01   2.427          0.02         0.041
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.979   -2.122  0.009  -2.443         0.009         0.033
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   27.600   10.400  0.909   2.860         1.600
  nodematch.race         10   12.333   23.333  0.871   2.679         2.485
  nodefactor.deg.5.1     NA   18.533       NA  0.774      NA         2.715
                     SD(Statistic)
  edges                      3.521
  nodematch.race             3.374
  nodefactor.deg.5.1         2.997
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   23.669   18.346  1.049   3.497         4.626         4.063
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.103  106.212  0.013   3.986         0.025         0.067
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 11
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 12
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 12
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 15
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 18
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 18
  Population Size: 58
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 20
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 22
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 23
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 27
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 15
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 15
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 15
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 17
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 17
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 19
  Population Size: 55
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.061       NA  0.073      NA         0.105
  nodefactor.deg.4.1     NA   14.636       NA  0.869      NA         0.481
                     SD(Statistic)
  triangle                   0.242
  nodefactor.deg.4.1         4.993
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.227   -7.729  0.424  -1.824         2.009          2.05
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.159   58.652  0.013   4.485          0.02         0.091
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.061       NA  0.073      NA         0.105
  nodefactor.deg.4.1     NA   14.636       NA  0.869      NA         0.481
                     SD(Statistic)
  triangle                   0.242
  nodefactor.deg.4.1         4.993
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.227   -7.729  0.424  -1.824         2.009          2.05
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.159   58.652  0.013   4.485          0.02         0.091
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   25.152    0.606  0.518   0.292         0.762
  nodematch.race     10   10.030    0.303  0.447   0.068         0.645
                 SD(Statistic)
  edges                  4.638
  nodematch.race         2.568
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.012    1.233  0.005   2.387         0.006          0.03
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.989   -1.072  0.004  -2.837         0.003         0.022
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    5.861       NA  1.067      NA         0.190
  nodefactor.deg.2.2     NA    9.303       NA  0.784      NA         2.455
                     SD(Statistic)
  mean.age                   2.263
  nodefactor.deg.2.2         4.503
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   22.155   10.773  1.733   1.243         5.304         4.901
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.087   74.702  0.008   4.643         0.011         0.059
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   17.636       NA  0.786      NA         0.364         4.513
  degree1     NA   18.970       NA  0.602      NA         0.458         3.459
  degree2     NA   10.515       NA  0.554      NA         0.794         3.183
  degree3     NA    3.273       NA  0.283      NA         0.273         1.625
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.027    2.739  0.006   4.482         0.006         0.035
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.974   -2.557  0.005  -4.738         0.004         0.031
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   24.242   -3.030  1.301  -0.582         2.888
  nodematch.race         10   10.333    3.333  1.315   0.253         3.343
  nodefactor.deg.5.1     NA   18.000       NA  0.629      NA         3.059
                     SD(Statistic)
  edges                      4.861
  nodematch.race             4.059
  nodefactor.deg.5.1         3.317
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   21.181    5.903  1.185   0.997         4.132         5.104
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.082   64.213  0.004   7.467         0.011          0.07
  
  Network Model Control Settings
  ===============================
  type = SI
  nsteps = 5
  start = 1
  nsims = 3
  ncores = 1
  resimulate.network = TRUE
  tergmLite = TRUE
  cumulative.edgelist = FALSE
  truncate.el.cuml = 0
  module.order =
  save.nwstats = TRUE
  nwstats.formula = <list>
  save.transmat = TRUE
  save.network = TRUE
  save.other = attr el temp net_attr
  verbose = TRUE
  verbose.int = 1
  skip.check = FALSE
  raw.output = FALSE
  tergmLite.track.duration = TRUE
  save.diss.stats = TRUE
  attr.rules = <list>
  Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 16
  Population Size: 50
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA      0.0       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA     15.4       NA  0.786      NA         0.529
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         3.043
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA      0.0       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA     15.4       NA  0.786      NA         0.529
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         3.043
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   27.467    9.867  1.424   1.732         1.922
  nodematch.race     10   10.933    9.333  0.651   1.434         0.643
                 SD(Statistic)
  edges                  5.514
  nodematch.race         2.520
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    3.693       NA  0.340      NA         0.050
  nodefactor.deg.2.2     NA    8.600       NA  0.501      NA         0.721
                     SD(Statistic)
  mean.age                   1.317
  nodefactor.deg.2.2         2.971
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   19.800       NA  0.544      NA         0.200         5.240
  degree1     NA   16.867       NA  0.780      NA         0.306         3.021
  degree2     NA   10.267       NA  0.913      NA         0.577         3.535
  degree3     NA    2.000       NA  0.378      NA         0.693         1.464
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   20.733  -17.067  0.853  -5.000         3.252
  nodematch.race         10   10.667    6.667  0.410   1.625         1.501
  nodefactor.deg.5.1     NA   19.800       NA  1.034      NA         4.133
                     SD(Statistic)
  edges                      3.305
  nodematch.race             1.589
  nodefactor.deg.5.1         4.004
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 23
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 27
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 27
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 29
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 26
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 28
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 29
  Population Size: 50
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.061       NA  0.073      NA         0.105
  nodefactor.deg.4.1     NA   16.061       NA  0.635      NA         0.344
                     SD(Statistic)
  triangle                   0.242
  nodefactor.deg.4.1         3.648
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.061       NA  0.073      NA         0.105
  nodefactor.deg.4.1     NA   16.061       NA  0.635      NA         0.344
                     SD(Statistic)
  triangle                   0.242
  nodefactor.deg.4.1         3.648
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   26.455    5.818  0.636   2.285         1.289
  nodematch.race     10   10.424    4.242  0.572   0.741         0.548
                 SD(Statistic)
  edges                  5.443
  nodematch.race         3.289
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    6.002       NA  1.125      NA         0.206
  nodefactor.deg.2.2     NA    9.091       NA  0.448      NA         0.481
                     SD(Statistic)
  mean.age                   2.458
  nodefactor.deg.2.2         4.034
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   19.000       NA  0.767      NA         1.024         5.831
  degree1     NA   17.061       NA  0.590      NA         0.773         3.391
  degree2     NA    9.848       NA  0.537      NA         0.555         3.083
  degree3     NA    3.061       NA  0.374      NA         0.706         2.106
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   21.788  -12.848  0.662  -4.851         2.549
  nodematch.race         10   10.424    4.242  0.311   1.363         0.955
  nodefactor.deg.5.1     NA   20.576       NA  0.706      NA         3.264
                     SD(Statistic)
  edges                      2.804
  nodematch.race             1.275
  nodefactor.deg.5.1         3.298
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  Network Model Control Settings
  ===============================
  type = SI
  nsteps = 5
  start = 1
  nsims = 3
  ncores = 1
  resimulate.network = TRUE
  tergmLite = TRUE
  cumulative.edgelist = FALSE
  truncate.el.cuml = 0
  module.order =
  save.nwstats = TRUE
  nwstats.formula = <list>
  save.transmat = TRUE
  save.network = TRUE
  save.other = attr el temp net_attr
  verbose = TRUE
  verbose.int = 1
  skip.check = FALSE
  raw.output = FALSE
  tergmLite.track.duration = TRUE
  save.diss.stats = TRUE
  attr.rules = <list>
  Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 12
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 15
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 17
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 14
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 15
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 17
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 10
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 10
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 10
  Population Size: 45
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 11
  Population Size: 44
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.067       NA  0.115      NA         0.115
  nodefactor.deg.4.1     NA   21.067       NA  1.777      NA         4.206
                     SD(Statistic)
  triangle                   0.258
  nodefactor.deg.4.1         6.881
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.067       NA  0.115      NA         0.115
  nodefactor.deg.4.1     NA   21.067       NA  1.777      NA         4.206
                     SD(Statistic)
  triangle                   0.258
  nodefactor.deg.4.1         6.881
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25     28.2     12.8  1.497   2.138         2.358
  nodematch.race     10     11.6     16.0  0.689   2.323         0.600
                 SD(Statistic)
  edges                  5.797
  nodematch.race         2.667
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    3.685       NA  0.316      NA         0.140
  nodefactor.deg.2.2     NA   10.000       NA  0.437      NA         1.249
                     SD(Statistic)
  mean.age                   1.224
  nodefactor.deg.2.2         4.000
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   17.067       NA  0.917      NA         1.528         4.605
  degree1     NA   18.800       NA  0.592      NA         1.249         3.427
  degree2     NA    9.200       NA  0.280      NA         1.217         2.651
  degree3     NA    3.867       NA  0.400      NA         1.514         1.995
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   21.533  -13.867  1.166  -2.972         4.981
  nodematch.race         10    8.800  -12.000  0.911  -1.317         3.985
  nodefactor.deg.5.1     NA   15.600       NA  0.375      NA         0.529
                     SD(Statistic)
  edges                      4.518
  nodematch.race             3.529
  nodefactor.deg.5.1         1.454
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 21
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 22
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 26
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 26
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 29
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 21
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 20
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 19
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 17
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 11
  Population Size: 44
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 11
  Population Size: 44
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 15
  Population Size: 46
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 17
  Population Size: 45
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 17
  Population Size: 46
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 19
  Population Size: 47
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA     0.03       NA  0.052      NA         0.052
  nodefactor.deg.4.1     NA    18.97       NA  0.766      NA         4.426
                     SD(Statistic)
  triangle                   0.174
  nodefactor.deg.4.1         6.536
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA     0.03       NA  0.052      NA         0.052
  nodefactor.deg.4.1     NA    18.97       NA  0.766      NA         4.426
                     SD(Statistic)
  triangle                   0.174
  nodefactor.deg.4.1         6.536
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   25.970    3.879  1.049   0.924         2.826
  nodematch.race     10   10.091    0.909  0.284   0.320         0.506
                 SD(Statistic)
  edges                  6.028
  nodematch.race         3.357
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    5.685       NA  0.969      NA         0.074
  nodefactor.deg.2.2     NA    8.364       NA  0.731      NA         0.568
                     SD(Statistic)
  mean.age                   2.125
  nodefactor.deg.2.2         3.690
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   17.061       NA  0.663      NA         0.972         3.807
  degree1     NA   18.455       NA  0.619      NA         1.734         3.554
  degree2     NA    9.242       NA  0.398      NA         0.210         2.926
  degree3     NA    3.364       NA  0.374      NA         1.420         2.148
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   18.727  -25.091  1.401  -4.478         4.882
  nodematch.race         10    8.091  -19.091  1.050  -1.818         4.902
  nodefactor.deg.5.1     NA   14.848       NA  0.413      NA         0.292
                     SD(Statistic)
  edges                      5.625
  nodematch.race             4.333
  nodefactor.deg.5.1         2.063
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.000000 1.047619 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.037037 1.000000 1.000000 1.000000 1.000000 1.000000 1.038462 1.000000
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.857143 2.714286 3.428571 3.833333 1.937500 2.764706 3.235294 4.055556
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.846154 2.772727 3.700000 4.700000 2.000000 2.916667 3.625000 4.160000
  
  Network Diagnostics
  -----------------------
  - Simulating 100 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 100 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 100 networks
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |
  Network Diagnostics
  -----------------------
  - Simulating 100 networks
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statistics
  Network Diagnostics
  -----------------------
  - Simulating 2 networks
   |**|
  - Calculating formation statistics[ FAIL 1 | WARN 2024 | SKIP 113 | PASS 2078 ]
  
  ══ Skipped tests (113) ═════════════════════════════════════════════════════════
  • On CRAN (113): 'test-cumulative_edgelist.R:20:3',
    'test-cumulative_edgelist.R:69:3', 'test-cumulative_edgelist.R:90:3',
    'test-dcm-long.R:6:3', 'test-dcm-long.R:22:3', 'test-dcm-long.R:41:3',
    'test-dcm-long.R:60:3', 'test-dcm-long.R:79:3', 'test-dcm-long.R:99:3',
    'test-dcm-long.R:120:3', 'test-dcm-long.R:135:3', 'test-dcm-long.R:151:3',
    'test-dcm-long.R:171:3', 'test-dcm-long.R:194:3', 'test-dcm-long.R:209:3',
    'test-dcm-long.R:225:3', 'test-dcm-long.R:245:3', 'test-dcm-long.R:262:3',
    'test-dcm-long.R:277:3', 'test-dcm-long.R:293:3', 'test-dcm-long.R:314:3',
    'test-dcm-long.R:339:3', 'test-dcm-long.R:354:3', 'test-dcm-long.R:371:3',
    'test-dcm-long.R:390:3', 'test-dcm-long.R:411:3', 'test-dcm-long.R:426:3',
    'test-dcm-long.R:442:3', 'test-dcm-long.R:462:3', 'test-dcm-long.R:487:3',
    'test-ergm.ego.R:6:3', 'test-icm-long.R:6:3', 'test-icm-long.R:30:3',
    'test-icm-long.R:55:3', 'test-icm-long.R:79:3', 'test-icm-long.R:102:3',
    'test-icm-long.R:127:3', 'test-icm-long.R:150:3', 'test-icm-long.R:174:3',
    'test-icm-long.R:199:3', 'test-icm-long.R:229:3', 'test-icm-long.R:252:3',
    'test-icm-long.R:275:3', 'test-icm-long.R:300:3', 'test-icm-long.R:324:3',
    'test-icm-long.R:348:3', 'test-icm-long.R:372:3', 'test-icm-long.R:398:3',
    'test-icm-long.R:427:3', 'test-icm-long.R:459:3', 'test-icm-long.R:483:3',
    'test-icm-long.R:507:3', 'test-icm-long.R:530:3', 'test-icm-long.R:552:3',
    'test-icm-long.R:575:3', 'test-icm-long.R:598:3', 'test-icm-long.R:622:3',
    'test-icm-long.R:647:3', 'test-net-long.R:4:3', 'test-net-long.R:290:3',
    'test-net-long.R:335:3', 'test-net-long.R:352:3', 'test-net-long.R:454:3',
    'test-net-long.R:567:3', 'test-net-long.R:653:3', 'test-net-long.R:698:3',
    'test-net-tergmLite.R:6:3', 'test-net-tergmLite.R:56:3',
    'test-net-tergmLite.R:112:3', 'test-net-tergmLite.R:171:3',
    'test-net-tergmLite.R:231:3', 'test-netattr.R:32:3', 'test-netattr.R:51:3',
    'test-netattr.R:100:3', 'test-netattr.R:150:3', 'test-netattr.R:185:3',
    'test-netattr.R:214:3', 'test-netdx.R:6:5', 'test-netdx.R:75:5',
    'test-netdx.R:100:5', 'test-netdx.R:118:5', 'test-netdx.R:163:5',
    'test-netdx.R:191:5', 'test-netdx.R:218:5', 'test-netdx.R:248:5',
    'test-netdx.R:265:5', 'test-netdx.R:278:5', 'test-netdx.R:292:5',
    'test-netdx.R:316:5', 'test-netdx.R:6:5', 'test-netdx.R:75:5',
    'test-netdx.R:100:5', 'test-netdx.R:118:5', 'test-netdx.R:163:5',
    'test-netdx.R:191:5', 'test-netdx.R:218:5', 'test-netdx.R:248:5',
    'test-netdx.R:265:5', 'test-netdx.R:278:5', 'test-netdx.R:292:5',
    'test-netdx.R:316:5', 'test-netdx.R:367:3', 'test-netdx.R:390:3',
    'test-netrestart.R:4:3', 'test-netrestart.R:35:3',
    'test-netsim-parallel.R:4:3', 'test-netsim-parallel.R:23:3',
    'test-netsim-parallel.R:42:3', 'test-netsim-parallel.R:60:3',
    'test-networkLite.R:4:3', 'test-stergm.R:5:3', 'test-transmat-dendo.R:69:3',
    'test-utils.R:100:3'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure ('test-scenarios.R:29:3'): SIS with scenarios ───────────────────────
  `netsim(est, sc.param, init, control)` produced warnings.
  
  [ FAIL 1 | WARN 2024 | SKIP 113 | PASS 2078 ]
  Error: Test failures
  Execution halted