Running 'test-all.R' [312s]
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     51.3      2.6  0.871   1.493            NA
  offset(deg6+)             NA      0.0       NA    NaN      NA            NA
  nodematch.sex              0      0.0      NaN    NaN     NaN            NA
  nodematch.race            20     21.1      5.5  1.394   0.789            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                         7.349
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                4.408
  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    52.42     4.84  1.082   2.237         7.202
  offset(deg6+)             NA     0.00       NA    NaN      NA         0.000
  nodematch.sex              0     0.00      NaN    NaN     NaN         0.000
  nodematch.race            20    20.02     0.10  0.503   0.040         2.952
  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                         7.651
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                3.554
  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    9.618   -3.823   0.21  -1.819         1.439         1.486
  
  Dissolution Diagnostics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1      0.1    0.261  0.006   0.041         0.024         0.045
  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     51.2      2.4  0.727   1.650         1.131
  offset(deg6+)             NA      0.0       NA    NaN      NA         0.000
  nodematch.sex              0      0.0      NaN    NaN     NaN         0.000
  nodematch.race            20     16.7    -16.5  1.265  -2.608         4.950
  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                         2.300
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                4.001
  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   10.053    0.532  0.182   0.292         0.163         0.576
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.103    2.673  0.007   0.389         0.006         0.033
  
  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: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 10
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 14
  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: 17
  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    0.067       NA  0.115      NA         0.115         0.258
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.591     5.91  0.431   1.373         1.745         1.668
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.081  -18.572  0.013  -1.401         0.032          0.05
  
  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    0.067       NA  0.115      NA         0.115         0.258
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.591     5.91  0.431   1.373         1.745         1.668
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.081  -18.572  0.013  -1.401         0.032          0.05
  
  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   26.200    4.800  0.904   1.328         1.709
  nodematch.race     10   10.467    4.667  0.761   0.613         0.643
                 SD(Statistic)
  edges                  6.201
  nodematch.race         2.949
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1     1.01    1.047  0.008   1.376         0.009         0.024
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1     0.99   -1.018  0.007  -1.447         0.009         0.022
  
  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    3.665       NA  0.308      NA         0.187         1.194
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   21.097    5.484  0.282   3.896         0.754          1.09
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.037   -25.16  0.005  -2.714         0.009         0.018
  
  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   20.133       NA  1.253      NA         1.629         4.853
  degree1     NA   18.467       NA  0.899      NA         1.026         3.482
  degree2     NA    8.267       NA  0.636      NA         0.306         2.463
  degree3     NA    2.800       NA  0.423      NA         1.311         2.597
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1     1.02    2.019  0.008    2.57         0.012          0.03
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.982   -1.828  0.007  -2.677          0.01         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)
  edges              25   26.400    5.600  1.305   1.073         5.769
  nodematch.race     10   13.333   33.333  1.466   2.274         6.646
                 SD(Statistic)
  edges                  5.054
  nodematch.race         5.678
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   22.164   10.822  0.414   5.226         1.538         1.604
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.044  -11.042  0.005    -1.1         0.009         0.042
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 17
  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: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 28
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 31
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 27
  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: 24
  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: 26
  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 temp
  
  Formation Statistics
  ----------------------- 
           Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  triangle     NA     0.03       NA  0.052      NA         0.052         0.174
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   11.707   17.073  0.163  10.458         0.266         0.757
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.091   -8.586   0.01  -0.892         0.016         0.049
  
  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     0.03       NA  0.052      NA         0.052         0.174
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   11.707   17.073  0.163  10.458         0.266         0.757
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.091   -8.586   0.01  -0.892         0.016         0.049
  
  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   26.152    4.606  0.506   2.277         2.549
  nodematch.race     10   10.576    5.758  0.418   1.377         1.054
                 SD(Statistic)
  edges                  5.087
  nodematch.race         3.666
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.014    1.351  0.002   6.105         0.006         0.021
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.987   -1.314  0.002  -6.029         0.006          0.02
  
  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    5.766       NA  1.035      NA         0.424         2.307
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20    21.32    6.598  2.458   0.537         5.541         5.288
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.051    2.251  0.006    0.18          0.01         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) SD(Statistic)
  degree0     NA   18.848       NA  0.711      NA         0.420         4.086
  degree1     NA   18.273       NA  0.343      NA         1.825         3.625
  degree2     NA    8.636       NA  0.366      NA         1.033         2.535
  degree3     NA    3.636       NA  0.490      NA         0.777         2.815
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.022    2.246  0.006   3.951          0.01         0.033
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.977   -2.276  0.006   -4.01         0.008         0.033
  
  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   25.333    1.333  0.996   0.335         4.728
  nodematch.race     10   12.121   21.212  2.003   1.059         6.039
                 SD(Statistic)
  edges                  4.270
  nodematch.race         5.225
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   19.041   -4.795  0.838  -1.144         3.221         2.991
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.051    2.765  0.006   0.213         0.007         0.045
  
  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: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 18
  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: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 15
  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: 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 temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.133       NA  0.157      NA         0.231
  nodefactor.deg.4.1     NA   17.400       NA  1.400      NA         3.105
                     SD(Statistic)
  triangle                   0.352
  nodefactor.deg.4.1         5.422
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    8.898  -11.021  0.473  -2.332         2.085          1.83
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.092    -7.63  0.005  -1.577          0.03         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)
  triangle               NA    0.133       NA  0.157      NA         0.231
  nodefactor.deg.4.1     NA   17.400       NA  1.400      NA         3.105
                     SD(Statistic)
  triangle                   0.352
  nodefactor.deg.4.1         5.422
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    8.898  -11.021  0.473  -2.332         2.085          1.83
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.092    -7.63  0.005  -1.577          0.03         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)
  edges              25   25.267    1.067  0.892   0.299         1.102
  nodematch.race     10   10.467    4.667  0.675   0.691         1.102
                 SD(Statistic)
  edges                  3.453
  nodematch.race         2.615
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.035    3.521  0.011   3.148         0.036         0.043
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.967   -3.312  0.011   -3.11         0.033         0.041
  
  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    3.709       NA  0.327      NA         0.177
  nodefactor.deg.2.2     NA    9.800       NA  0.852      NA         1.929
                     SD(Statistic)
  mean.age                   1.268
  nodefactor.deg.2.2         3.299
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   21.007    5.035  0.683   1.474         2.619         2.646
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05     0.05    0.028  0.012   0.001         0.022         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
  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   18.200       NA  1.235      NA         0.800         4.784
  degree1     NA   17.600       NA  1.004      NA         1.709         3.888
  degree2     NA   10.933       NA  0.496      NA         0.643         2.631
  degree3     NA    2.000       NA  0.390      NA         0.800         1.512
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.012    1.197  0.007   1.829          0.01         0.021
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.986   -1.356  0.008  -1.704         0.012         0.025
  
  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     22.0      -12  0.468  -6.410         1.587
  nodematch.race         10      8.6      -14  0.623  -2.246         2.498
  nodefactor.deg.5.1     NA     17.8       NA  0.490      NA         1.778
                     SD(Statistic)
  edges                      1.813
  nodematch.race             2.414
  nodefactor.deg.5.1         1.897
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   18.558   -7.209  0.792   -1.82         3.051         3.069
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.042  -15.464   0.01  -0.744         0.027          0.04
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 20
  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: 23
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 24
  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: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 24
  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: 33
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 20
  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: 26
  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    0.091       NA  0.077      NA         0.157
  nodefactor.deg.4.1     NA   16.667       NA  1.095      NA         2.734
                     SD(Statistic)
  triangle                   0.292
  nodefactor.deg.4.1         6.288
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.878    8.778  0.572   1.535         1.431         1.985
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.098   -1.974  0.006  -0.316         0.019         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)
  triangle               NA    0.091       NA  0.077      NA         0.157
  nodefactor.deg.4.1     NA   16.667       NA  1.095      NA         2.734
                     SD(Statistic)
  triangle                   0.292
  nodefactor.deg.4.1         6.288
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.878    8.778  0.572   1.535         1.431         1.985
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.098   -1.974  0.006  -0.316         0.019         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)
  edges              25   26.121    4.485  0.644   1.742         0.605
  nodematch.race     10   10.152    1.515  0.175   0.867         0.605
                 SD(Statistic)
  edges                  3.698
  nodematch.race         2.451
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.033    3.332  0.007   4.652          0.01         0.036
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.967    -3.29  0.007  -4.611         0.008         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)
  mean.age               NA    6.084       NA  1.138      NA         0.306
  nodefactor.deg.2.2     NA    9.848       NA  0.674      NA         0.682
                     SD(Statistic)
  mean.age                   2.558
  nodefactor.deg.2.2         3.874
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   21.766    8.829  0.821   2.151         3.469         3.293
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.048   -3.046  0.005  -0.325         0.011         0.052
  
  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   18.364       NA  0.803      NA         0.686         4.615
  degree1     NA   17.879       NA  0.301      NA         2.144         4.328
  degree2     NA   10.303       NA  0.472      NA         1.155         2.710
  degree3     NA    2.364       NA  0.304      NA         0.710         1.747
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.016    1.591  0.004   3.813         0.011         0.024
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.984   -1.571  0.004  -3.735          0.01         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   22.576   -9.697  0.646  -3.753         2.697
  nodematch.race         10    8.848  -11.515  0.631  -1.825         3.493
  nodefactor.deg.5.1     NA   16.727       NA  0.548      NA         1.593
                     SD(Statistic)
  edges                      2.705
  nodematch.race             3.163
  nodefactor.deg.5.1         2.281
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   20.803    4.015  0.666   1.205         2.644         2.592
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.041  -17.857  0.007   -1.37         0.013         0.037
  
  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: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 12
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 13
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 14
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 18
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 10
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 10
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 12
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 13
  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    0.133       NA  0.157      NA         0.231
  nodefactor.deg.4.1     NA   16.533       NA  1.187      NA         0.643
                     SD(Statistic)
  triangle                   0.352
  nodefactor.deg.4.1         4.596
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   11.619   16.186  0.464   3.485         2.613         2.325
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.136   35.528  0.016   2.191         0.003         0.089
  
  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    0.133       NA  0.157      NA         0.231
  nodefactor.deg.4.1     NA   16.533       NA  1.187      NA         0.643
                     SD(Statistic)
  triangle                   0.352
  nodefactor.deg.4.1         4.596
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   11.619   16.186  0.464   3.485         2.613         2.325
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.136   35.528  0.016   2.191         0.003         0.089
  
  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     29.0       16  0.748   5.347         1.732
  nodematch.race     10     12.4       24  1.146   2.095         0.721
                 SD(Statistic)
  edges                  4.826
  nodematch.race         4.437
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.025    2.521   0.01    2.47         0.022         0.032
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.974   -2.585  0.011  -2.459         0.022         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)
  mean.age               NA    3.582       NA  0.305      NA         0.113
  nodefactor.deg.2.2     NA   10.600       NA  1.046      NA         3.704
                     SD(Statistic)
  mean.age                    1.18
  nodefactor.deg.2.2          4.05
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   18.922   -5.392  0.474  -2.274         2.056         1.836
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.081   61.223  0.018   1.671          0.04         0.071
  
  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   21.667       NA  1.124      NA         1.815         4.353
  degree1     NA   17.467       NA  0.792      NA         1.701         3.067
  degree2     NA    8.000       NA  0.602      NA         0.400         2.330
  degree3     NA    2.067       NA  0.358      NA         1.007         1.387
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.013    1.265  0.006   2.211         0.005         0.022
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.987   -1.291  0.006  -2.173         0.003         0.023
  
  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   19.600  -21.600  0.653  -8.267         0.872
  nodematch.race         10    8.533  -14.667  0.515  -2.847         2.003
  nodefactor.deg.5.1     NA   18.800       NA  0.712      NA         2.107
                     SD(Statistic)
  edges                      2.530
  nodematch.race             1.995
  nodefactor.deg.5.1         2.757
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   18.944   -5.278   2.31  -0.457        10.534         8.948
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05     0.11  120.491  0.011   5.548         0.036         0.058
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 13
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 14
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 15
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 16
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 14
  Population Size: 46
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 15
  Population Size: 46
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 20
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 21
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 22
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 23
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 25
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 14
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 13
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 16
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 16
  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
  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  0.130      NA         0.105
  nodefactor.deg.4.1     NA   13.788       NA  0.971      NA         0.706
                     SD(Statistic)
  triangle                   0.242
  nodefactor.deg.4.1         5.091
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.452    -5.48  0.747  -0.734         2.079         2.854
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.152   52.494  0.016   3.193         0.005         0.094
  
  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  0.130      NA         0.105
  nodefactor.deg.4.1     NA   13.788       NA  0.971      NA         0.706
                     SD(Statistic)
  triangle                   0.242
  nodefactor.deg.4.1         5.091
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.452    -5.48  0.747  -0.734         2.079         2.854
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.152   52.494  0.016   3.193         0.005         0.094
  
  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   26.424    5.697  0.813   1.751         0.378
  nodematch.race     10   10.818    8.182  0.640   1.279         1.161
                 SD(Statistic)
  edges                  6.175
  nodematch.race         4.440
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.026    2.597  0.005    4.84         0.007         0.031
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.975   -2.469  0.005   -5.37         0.009         0.029
  
  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    5.605       NA  1.015      NA         0.252
  nodefactor.deg.2.2     NA    8.455       NA  0.756      NA         1.935
                     SD(Statistic)
  mean.age                   2.152
  nodefactor.deg.2.2         4.345
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   17.734  -11.329  0.748  -3.028         4.335         3.731
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.098   95.775  0.015   3.101         0.023         0.103
  
  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   20.030       NA  0.725      NA         0.139         4.946
  degree1     NA   18.303       NA  0.183      NA         0.501         3.187
  degree2     NA    8.152       NA  0.504      NA         0.729         2.895
  degree3     NA    2.758       NA  0.401      NA         0.773         2.305
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.014    1.413  0.003   5.498         0.004         0.024
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.986   -1.416  0.002  -5.956         0.006         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
  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   15.909  -36.364  1.673  -5.433         0.315
  nodematch.race         10    6.394  -36.061  1.278  -2.822         1.514
  nodefactor.deg.5.1     NA   16.515       NA  1.154      NA         2.066
                     SD(Statistic)
  edges                      4.440
  nodematch.race             2.915
  nodefactor.deg.5.1         3.242
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   23.491   17.455  0.853   4.093         3.916         4.313
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.128  155.473  0.012   6.333          0.01          0.09
  
  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: 10
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 10
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 10
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 12
  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: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 15
  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: 16
  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     18.6       NA  1.174      NA         1.587
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         4.548
  
  
  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     18.6       NA  1.174      NA         1.587
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         4.548
  
  
  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   24.267   -2.933  0.903  -0.812         1.026
  nodematch.race     10    9.933   -0.667  0.557  -0.120         1.102
                 SD(Statistic)
  edges                  4.758
  nodematch.race         3.058
  
  
  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    3.728       NA  0.325      NA         0.039
  nodefactor.deg.2.2     NA    9.200       NA  1.277      NA         2.800
                     SD(Statistic)
  mean.age                   1.260
  nodefactor.deg.2.2         4.945
  
  
  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   17.800       NA  1.299      NA         2.905         5.031
  degree1     NA   19.133       NA  0.872      NA         2.759         3.378
  degree2     NA    9.400       NA  0.792      NA         0.693         3.066
  degree3     NA    2.600       NA  0.434      NA         0.872         1.682
  
  
  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   20.267  -18.933  0.993  -4.768         4.027
  nodematch.race         10    8.267  -17.333  0.902  -1.921         3.972
  nodefactor.deg.5.1     NA   16.000       NA  1.464      NA         6.548
                     SD(Statistic)
  edges                      3.845
  nodematch.race             3.494
  nodefactor.deg.5.1         5.669
  
  
  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: 13
  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: 17
  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: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 22
  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: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 25
  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: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 23
  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: 30
  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    0.000       NA    NaN      NA          0.00
  nodefactor.deg.4.1     NA   19.091       NA  0.387      NA          1.26
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         5.021
  
  
  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    0.000       NA    NaN      NA          0.00
  nodefactor.deg.4.1     NA   19.091       NA  0.387      NA          1.26
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         5.021
  
  
  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   24.455   -2.182  0.713  -0.765         0.481
  nodematch.race     10   10.182    1.818  0.516   0.353         0.315
                 SD(Statistic)
  edges                  4.093
  nodematch.race         2.963
  
  
  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    5.922       NA  1.113      NA         0.242
  nodefactor.deg.2.2     NA    8.576       NA  0.518      NA         3.197
                     SD(Statistic)
  mean.age                   2.382
  nodefactor.deg.2.2         5.172
  
  
  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   17.485       NA  0.660      NA         1.287         4.784
  degree1     NA   18.879       NA  0.311      NA         1.667         3.140
  degree2     NA    9.394       NA  0.355      NA         0.773         3.061
  degree3     NA    3.121       NA  0.116      NA         0.410         1.635
  
  
  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   19.061  -23.758  0.903  -6.574         3.531
  nodematch.race         10    7.848  -21.515  0.425  -5.063         3.784
  nodefactor.deg.5.1     NA   15.636       NA  1.380      NA         4.779
                     SD(Statistic)
  edges                      3.614
  nodematch.race             3.318
  nodefactor.deg.5.1         5.055
  
  
  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: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  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: 45
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 13
  Population Size: 46
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 12
  Population Size: 46
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 9
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 9
  Population Size: 43
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 10
  Population Size: 44
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 11
  Population Size: 45
  ----------------------------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    0.133       NA  0.157      NA         0.231
  nodefactor.deg.4.1     NA   19.400       NA  0.945      NA         3.020
                     SD(Statistic)
  triangle                   0.352
  nodefactor.deg.4.1         3.661
  
  
  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    0.133       NA  0.157      NA         0.231
  nodefactor.deg.4.1     NA   19.400       NA  0.945      NA         3.020
                     SD(Statistic)
  triangle                   0.352
  nodefactor.deg.4.1         3.661
  
  
  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   23.467   -6.133  1.019  -1.504         2.641
  nodematch.race     10    9.800   -2.000  0.652  -0.307         2.272
                 SD(Statistic)
  edges                  6.221
  nodematch.race         3.610
  
  
  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    3.582       NA  0.292      NA         0.106
  nodefactor.deg.2.2     NA    7.133       NA  0.774      NA         1.848
                     SD(Statistic)
  mean.age                   1.131
  nodefactor.deg.2.2         2.997
  
  
  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   16.133       NA  1.077      NA         0.808         4.172
  degree1     NA   19.533       NA  0.561      NA         1.973         3.270
  degree2     NA    8.867       NA  0.624      NA         1.286         2.416
  degree3     NA    3.200       NA  0.290      NA         1.114         2.077
  
  
  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   23.733   -5.067  1.371  -0.924         4.726
  nodematch.race         10    9.600   -4.000  1.114  -0.359         3.650
  nodefactor.deg.5.1     NA   18.133       NA  1.018      NA         3.402
                     SD(Statistic)
  edges                      5.311
  nodematch.race             3.521
  nodefactor.deg.5.1         3.944
  
  
  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: 14
  Population Size: 46
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 13
  Population Size: 44
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 14
  Population Size: 42
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 14
  Population Size: 43
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 14
  Population Size: 43
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 14
  Population Size: 44
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 12
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 14
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 14
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 15
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 15
  Population Size: 44
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 19
  Population Size: 42
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 11
  Population Size: 45
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 15
  Population Size: 44
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 15
  Population Size: 42
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 15
  Population Size: 41
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 15
  Population Size: 41
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 16
  Population Size: 42
  ----------------------------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    0.091       NA  0.088      NA         0.157
  nodefactor.deg.4.1     NA   14.909       NA  1.313      NA         1.703
                     SD(Statistic)
  triangle                   0.292
  nodefactor.deg.4.1         5.907
  
  
  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    0.091       NA  0.088      NA         0.157
  nodefactor.deg.4.1     NA   14.909       NA  1.313      NA         1.703
                     SD(Statistic)
  triangle                   0.292
  nodefactor.deg.4.1         5.907
  
  
  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   22.424  -10.303  0.845  -3.048         2.830
  nodematch.race     10    8.939  -10.606  0.576  -1.843         0.933
                 SD(Statistic)
  edges                  5.943
  nodematch.race         3.307
  
  
  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    5.682       NA  1.080      NA         0.288
  nodefactor.deg.2.2     NA    6.333       NA  0.825      NA         2.308
                     SD(Statistic)
  mean.age                   2.258
  nodefactor.deg.2.2         4.075
  
  
  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   16.424       NA  0.728      NA         0.897         4.184
  degree1     NA   17.788       NA  0.596      NA         0.864         3.426
  degree2     NA    8.485       NA  0.294      NA         1.014         2.659
  degree3     NA    2.909       NA  0.185      NA         0.744         1.826
  
  
  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   19.879  -20.485  2.134    -2.4         2.682
  nodematch.race         10    8.515  -14.848  1.061    -1.4         2.892
  nodefactor.deg.5.1     NA   16.212       NA  0.817      NA         2.409
                     SD(Statistic)
  edges                      5.510
  nodematch.race             3.012
  nodefactor.deg.5.1         3.462
  
  
  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 1.038462 1.000000 1.000000 1.071429 1.000000 1.125000 1.000000
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.041667 1.033333 1.043478 1.031250 1.000000 1.000000 1.033333 1.000000
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.954545 2.954545 3.458333 4.043478 1.827586 2.620690 3.586207 4.500000
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.937500 2.862069 3.655172 4.400000 2.000000 2.714286 2.882353 3.687500
  
  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 1956 | 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 1956 | SKIP 113 | PASS 2078 ]
  Error: Test failures
  Execution halted