Running ‘test-all.R’ [461s/533s]
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     46.9     -6.2  1.876  -1.652            NA
  offset(deg6+)             NA      0.0       NA    NaN      NA            NA
  nodematch.sex              0      0.0      NaN    NaN     NaN            NA
  nodematch.race            20     19.9     -0.5  0.445  -0.224            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                         5.934
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                4.841
  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    51.26     2.52  1.110   1.135         7.633
  offset(deg6+)             NA     0.00       NA    NaN      NA         0.000
  nodematch.sex              0     0.00      NaN    NaN     NaN         0.000
  nodematch.race            20    20.96     4.80  0.785   1.224         5.483
  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                         7.848
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                5.555
  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    9.747   -2.527  0.119  -2.118         0.943         0.984
  
  Dissolution Diagnostics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.099   -1.183  0.006  -0.193         0.018         0.043
  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     46.9     -6.2  2.068  -1.499         8.061
  offset(deg6+)             NA      0.0       NA    NaN      NA         0.000
  nodematch.sex              0      0.0      NaN    NaN     NaN         0.000
  nodematch.race            20     14.7    -26.5  1.033  -5.129         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                         6.540
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                3.268
  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    9.172   -8.276  0.217  -3.817          0.32         0.686
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.114   13.821  0.017   0.803         0.028         0.054
  
  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: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 10
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 17
  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       NA    NaN      NA             0             0
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10     7.83  -21.703  0.632  -3.436         2.801         2.446
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.126   25.614  0.012   2.095         0.036         0.076
  
  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       NA    NaN      NA             0             0
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10     7.83  -21.703  0.632  -3.436         2.801         2.446
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.126   25.614  0.012   2.095         0.036         0.076
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   27.067    8.267  0.686   3.011         2.403
  nodematch.race     10   12.000   20.000  0.416   4.809         0.917
                 SD(Statistic)
  edges                  2.658
  nodematch.race         2.507
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.005    0.516  0.004   1.194         0.005         0.014
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.995   -0.512  0.004  -1.186         0.005         0.014
  
  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    3.721       NA  0.332      NA         0.111         1.286
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   19.718   -1.411  0.706    -0.4         2.894         2.735
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.059    17.18  0.007   1.219         0.017         0.039
  
  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   18.000       NA  0.905      NA         1.709         3.505
  degree1     NA   19.067       NA  0.790      NA         1.102         3.058
  degree2     NA    9.000       NA  0.889      NA         0.872         3.443
  degree3     NA    3.200       NA  0.203      NA         1.217         1.821
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.028    2.799  0.007   4.244         0.015         0.026
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.965   -3.457   0.01  -3.302         0.016         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)
  edges              25   24.000   -4.000  1.137  -0.879         4.678
  nodematch.race     10   10.133    1.333  1.146   0.116         5.147
                 SD(Statistic)
  edges                  4.375
  nodematch.race         4.438
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   18.463   -7.687  0.285  -5.402         0.897         1.102
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.045   -9.098  0.012  -0.381         0.005         0.046
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 20
  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: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 23
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 21
  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: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 26
  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: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 27
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 27
  Population Size: 50
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
           Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  triangle     NA        0       NA    NaN      NA             0             0
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.202   -7.979  0.335  -2.385         1.768         1.617
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.122   21.794  0.013   1.621         0.031         0.077
  
  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       NA    NaN      NA             0             0
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.202   -7.979  0.335  -2.385         1.768         1.617
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.122   21.794  0.013   1.621         0.031         0.077
  
  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   25.545    2.182  0.377   1.447         2.049
  nodematch.race     10   11.485   14.848  0.379   3.922         1.129
                 SD(Statistic)
  edges                  4.116
  nodematch.race         2.774
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.017    1.652  0.004   3.771         0.005          0.03
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.986   -1.414  0.003  -4.197         0.005         0.023
  
  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    5.752       NA  1.014      NA         0.233         2.227
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   21.174    5.869  0.266   4.418         1.091         1.478
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05     0.06   19.698  0.005   2.079         0.011         0.042
  
  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   19.152       NA  0.662      NA         1.702         3.801
  degree1     NA   18.182       NA  0.514      NA         0.568         2.952
  degree2     NA    9.182       NA  0.380      NA         0.949         3.177
  degree3     NA    2.788       NA  0.225      NA         0.920         1.763
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.019    1.861  0.005   3.733         0.008         0.024
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.978   -2.195  0.006  -3.755          0.01         0.034
  
  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   23.182   -7.273  1.058  -1.718         2.751
  nodematch.race     10    9.667   -3.333  1.745  -0.191         5.747
                 SD(Statistic)
  edges                  3.311
  nodematch.race         4.992
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   22.585   12.925  0.735   3.518          3.01         2.972
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.051    2.809  0.008   0.165         0.012         0.049
  
  Network Model Control Settings
  ===============================
  type = SI
  nsteps = 5
  start = 1
  nsims = 3
  ncores = 1
  resimulate.network = TRUE
  tergmLite = FALSE
  cumulative.edgelist = FALSE
  truncate.el.cuml = 0
  module.order =
  save.nwstats = TRUE
  nwstats.formula = <list>
  save.transmat = TRUE
  save.network = TRUE
  save.other = attr temp
  verbose = TRUE
  verbose.int = 1
  skip.check = FALSE
  raw.output = FALSE
  tergmLite.track.duration = TRUE
  save.diss.stats = TRUE
  attr.rules = <list>
  Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 14
  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: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 18
  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    0.267       NA  0.265      NA         0.462
  nodefactor.deg.4.1     NA   19.133       NA  1.718      NA         2.948
                     SD(Statistic)
  triangle                   0.594
  nodefactor.deg.4.1         6.653
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.426   -5.741  0.267  -2.148         0.995         1.035
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.097   -2.862  0.016  -0.181         0.023         0.061
  
  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    0.267       NA  0.265      NA         0.462
  nodefactor.deg.4.1     NA   19.133       NA  1.718      NA         2.948
                     SD(Statistic)
  triangle                   0.594
  nodefactor.deg.4.1         6.653
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.426   -5.741  0.267  -2.148         0.995         1.035
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.097   -2.862  0.016  -0.181         0.023         0.061
  
  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  1.277   0.940         0.721
  nodematch.race     10   10.933    9.333  0.621   1.503         1.172
                 SD(Statistic)
  edges                  4.945
  nodematch.race         2.404
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.031    3.123  0.008   3.761          0.02         0.042
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1     0.97   -3.049   0.01  -2.957         0.013          0.04
  
  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    3.796       NA  0.351      NA         0.093
  nodefactor.deg.2.2     NA   11.000       NA  1.298      NA         3.940
                     SD(Statistic)
  mean.age                   1.358
  nodefactor.deg.2.2         5.028
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   20.098    0.489  1.088    0.09         4.697         4.212
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05     0.05   -0.817  0.013  -0.032          0.02         0.049
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   17.733       NA  0.864      NA         1.501         4.284
  degree1     NA   18.400       NA  0.980      NA         0.200         3.795
  degree2     NA    9.400       NA  0.682      NA         1.114         2.640
  degree3     NA    3.333       NA  0.494      NA         0.577         1.915
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.031    3.056  0.005   6.476         0.007         0.032
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.968   -3.188  0.009  -3.494         0.008         0.035
  
  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   26.733    6.933  0.556   3.117         2.335
  nodematch.race         10   11.467   14.667  0.301   4.867         1.858
  nodefactor.deg.5.1     NA   19.133       NA  0.861      NA         3.252
                     SD(Statistic)
  edges                      2.154
  nodematch.race             1.685
  nodefactor.deg.5.1         3.335
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   20.395    1.977  0.382   1.035         0.935         1.479
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.036  -27.514  0.011  -1.301          0.03         0.041
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 27
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 32
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 34
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 36
  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: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 23
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 25
  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: 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: 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)
  triangle               NA    0.152       NA  0.133      NA         0.262
  nodefactor.deg.4.1     NA   18.939       NA  1.036      NA         4.135
                     SD(Statistic)
  triangle                   0.442
  nodefactor.deg.4.1         6.057
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.181   -8.194  0.496  -1.653         1.005         1.297
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.101    1.205  0.009   0.135         0.016         0.051
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.152       NA  0.133      NA         0.262
  nodefactor.deg.4.1     NA   18.939       NA  1.036      NA         4.135
                     SD(Statistic)
  triangle                   0.442
  nodefactor.deg.4.1         6.057
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.181   -8.194  0.496  -1.653         1.005         1.297
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.101    1.205  0.009   0.135         0.016         0.051
  
  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   25.364    1.455  0.832   0.437         1.577
  nodematch.race     10   10.091    0.909  0.367   0.248         0.182
                 SD(Statistic)
  edges                  4.782
  nodematch.race         3.035
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.033    3.296  0.006   5.962         0.014         0.046
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1     0.97   -2.963  0.004  -8.174         0.009         0.037
  
  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    6.425       NA  1.253      NA         0.220
  nodefactor.deg.2.2     NA   10.424       NA  0.701      NA         3.632
                     SD(Statistic)
  mean.age                   2.797
  nodefactor.deg.2.2         5.214
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   20.933    4.665   1.04   0.898         2.193          3.01
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.049   -2.326  0.007  -0.163         0.009         0.041
  
  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   17.939       NA  0.651      NA         0.874         3.741
  degree1     NA   18.515       NA  0.558      NA         0.757         3.203
  degree2     NA    9.000       NA  0.478      NA         0.157         2.437
  degree3     NA    3.364       NA  0.328      NA         0.182         1.884
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.025    2.493  0.007   3.712         0.003         0.039
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.976   -2.366  0.006  -3.781         0.002         0.036
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   25.848    3.394  0.637   1.331         2.662
  nodematch.race         10   10.818    8.182  0.454   1.801         1.839
  nodefactor.deg.5.1     NA   19.879       NA  0.831      NA         3.918
                     SD(Statistic)
  edges                      2.682
  nodematch.race             1.895
  nodefactor.deg.5.1         4.037
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   22.101   10.504  0.562   3.736         2.795         2.863
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.045   -9.156  0.005  -0.849         0.018         0.042
  
  Network Model Control Settings
  ===============================
  type = SI
  nsteps = 5
  start = 1
  nsims = 3
  ncores = 1
  resimulate.network = TRUE
  tergmLite = FALSE
  cumulative.edgelist = FALSE
  truncate.el.cuml = 0
  module.order =
  save.nwstats = TRUE
  nwstats.formula = <list>
  save.transmat = TRUE
  save.network = TRUE
  save.other = attr temp
  verbose = TRUE
  verbose.int = 1
  skip.check = FALSE
  raw.output = FALSE
  tergmLite.track.duration = TRUE
  save.diss.stats = TRUE
  attr.rules = <list>
  Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 14
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 16
  Population Size: 45
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 10
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 11
  Population Size: 55
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 12
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 13
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 14
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 14
  Population Size: 52
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.000       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA   18.467       NA   1.33      NA         6.313
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         6.567
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    8.437  -15.632  0.253  -6.186         0.692         0.993
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.129   29.365  0.014   2.078          0.01         0.055
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.000       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA   18.467       NA   1.33      NA         6.313
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         6.567
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    8.437  -15.632  0.253  -6.186         0.692         0.993
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.129   29.365  0.014   2.078          0.01         0.055
  
  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   26.733    6.933  1.529   1.134         1.474
  nodematch.race     10   11.333   13.333  1.003   1.329         0.306
                 SD(Statistic)
  edges                  5.922
  nodematch.race         3.885
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.025    2.454  0.008   3.054         0.012         0.031
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.974   -2.618  0.008  -3.454         0.007         0.029
  
  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    3.732       NA  0.332      NA         0.121
  nodefactor.deg.2.2     NA    8.667       NA  1.362      NA         1.102
                     SD(Statistic)
  mean.age                   1.285
  nodefactor.deg.2.2         5.273
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   17.765  -11.173  0.407  -5.491          0.38         1.576
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.079   58.323  0.011   2.628         0.008         0.059
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  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   18.667       NA  1.233      NA         1.206         4.776
  degree1     NA   19.067       NA  0.777      NA         1.270         3.011
  degree2     NA    8.533       NA  0.456      NA         0.924         2.748
  degree3     NA    3.333       NA  0.674      NA         0.757         2.610
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.019    1.911  0.004   4.727         0.017         0.025
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.984   -1.583  0.006  -2.443         0.014          0.02
  
  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   21.800    -12.8  0.879  -3.639         3.175
  nodematch.race         10   10.600      6.0  0.466   1.288         1.600
  nodefactor.deg.5.1     NA   16.067       NA  1.232      NA         5.232
                     SD(Statistic)
  edges                      3.406
  nodematch.race             1.805
  nodefactor.deg.5.1         4.773
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   22.265   11.327  0.426   5.321         4.522         4.274
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.063   25.218  0.015   0.846         0.018         0.058
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 15
  Population Size: 45
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 18
  Population Size: 46
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 20
  Population Size: 46
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 19
  Population Size: 44
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 20
  Population Size: 45
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 21
  Population Size: 42
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 12
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 13
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 15
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 16
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 16
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 16
  Population Size: 55
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 14
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 14
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 17
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 17
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 17
  Population Size: 51
  ----------------------------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    0.000       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA   16.424       NA  1.355      NA         3.524
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         5.624
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   11.183   11.828  0.343   3.453         2.635         2.563
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.131   30.605   0.01   2.993         0.017         0.059
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.000       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA   16.424       NA  1.355      NA         3.524
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         5.624
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   11.183   11.828  0.343   3.453         2.635         2.563
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.131   30.605   0.01   2.993         0.017         0.059
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   25.939    3.758  0.869   1.082         0.501
  nodematch.race     10   10.758    7.576  0.493   1.537         0.189
                 SD(Statistic)
  edges                  4.860
  nodematch.race         3.482
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.015    1.528  0.006   2.715         0.007         0.032
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.985   -1.503  0.005  -3.054         0.004         0.028
  
  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    5.617       NA  0.933      NA         0.285
  nodefactor.deg.2.2     NA    8.697       NA  0.714      NA         0.688
                     SD(Statistic)
  mean.age                   2.042
  nodefactor.deg.2.2         4.104
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   22.167   10.836  0.676   3.207         4.211         3.882
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.083   66.002  0.006   5.368         0.016         0.059
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr temp
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   18.212       NA  0.688      NA         0.845         3.951
  degree1     NA   18.455       NA  0.545      NA         0.867         3.133
  degree2     NA    8.970       NA  0.543      NA         1.601         3.117
  degree3     NA    3.212       NA  0.356      NA         0.292         2.043
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.018    1.818  0.005   3.368         0.005         0.031
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.985   -1.534  0.005   -3.29         0.007         0.027
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  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   18.788  -24.848  1.693  -3.669         2.464
  nodematch.race         10    9.667   -3.333  0.446  -0.748         1.137
  nodefactor.deg.5.1     NA   15.030       NA  0.877      NA         3.702
                     SD(Statistic)
  edges                      4.512
  nodematch.race             1.780
  nodefactor.deg.5.1         4.355
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   21.481    7.405  1.071   1.383         4.784          4.52
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05      0.1  100.941  0.017     2.9          0.04         0.089
  
  Network Model Control Settings
  ===============================
  type = SI
  nsteps = 5
  start = 1
  nsims = 3
  ncores = 1
  resimulate.network = TRUE
  tergmLite = TRUE
  cumulative.edgelist = FALSE
  truncate.el.cuml = 0
  module.order =
  save.nwstats = TRUE
  nwstats.formula = <list>
  save.transmat = TRUE
  save.network = TRUE
  save.other = attr el temp net_attr
  verbose = TRUE
  verbose.int = 1
  skip.check = FALSE
  raw.output = FALSE
  tergmLite.track.duration = TRUE
  save.diss.stats = TRUE
  attr.rules = <list>
  Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 19
  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: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 17
  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: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 20
  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    0.133       NA  0.157      NA         0.231
  nodefactor.deg.4.1     NA   17.267       NA  1.494      NA         4.772
                     SD(Statistic)
  triangle                   0.352
  nodefactor.deg.4.1         5.788
  
  
  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    0.133       NA  0.157      NA         0.231
  nodefactor.deg.4.1     NA   17.267       NA  1.494      NA         4.772
                     SD(Statistic)
  triangle                   0.352
  nodefactor.deg.4.1         5.788
  
  
  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   23.800   -4.800  1.224  -0.981         2.821
  nodematch.race     10    9.267   -7.333  0.651  -1.127         0.503
                 SD(Statistic)
  edges                  4.739
  nodematch.race         2.520
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    3.684       NA  0.307      NA         0.107
  nodefactor.deg.2.2     NA    9.000       NA  1.682      NA         7.158
                     SD(Statistic)
  mean.age                   1.190
  nodefactor.deg.2.2         6.514
  
  
  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   18.800       NA  1.547      NA         1.637         5.990
  degree1     NA   18.467       NA  1.037      NA         1.501         4.015
  degree2     NA    9.200       NA  0.932      NA         1.970         3.610
  degree3     NA    2.533       NA  0.477      NA         0.924         1.846
  
  
  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     20.0      -20  0.422 -11.858         1.058
  nodematch.race         10      6.0      -40  0.276 -14.491         0.693
  nodefactor.deg.5.1     NA     17.4       NA  0.904      NA         3.504
                     SD(Statistic)
  edges                      1.648
  nodematch.race             1.069
  nodefactor.deg.5.1         3.501
  
  
  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: 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: 22
  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: 27
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 28
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 23
  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: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 25
  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: 27
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 32
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 32
  Population Size: 50
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.061       NA  0.073      NA         0.105
  nodefactor.deg.4.1     NA   19.212       NA  0.949      NA         3.421
                     SD(Statistic)
  triangle                   0.242
  nodefactor.deg.4.1         5.453
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.061       NA  0.073      NA         0.105
  nodefactor.deg.4.1     NA   19.212       NA  0.949      NA         3.421
                     SD(Statistic)
  triangle                   0.242
  nodefactor.deg.4.1         5.453
  
  
  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   24.394   -2.424  0.846  -0.716         0.501
  nodematch.race     10   10.182    1.818  0.561   0.324         0.833
                 SD(Statistic)
  edges                  4.330
  nodematch.race         3.225
  
  
  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    5.852       NA  1.067      NA         0.596
  nodefactor.deg.2.2     NA    9.333       NA  1.176      NA         3.731
                     SD(Statistic)
  mean.age                   2.395
  nodefactor.deg.2.2         4.922
  
  
  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   18.727       NA  0.623      NA         0.877         5.076
  degree1     NA   18.970       NA  0.631      NA         1.085         3.704
  degree2     NA    9.030       NA  0.338      NA         1.409         3.245
  degree3     NA    2.455       NA  0.308      NA         0.396         1.769
  
  
  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   20.606  -17.576  0.401 -10.947         1.546
  nodematch.race         10    6.273  -37.273  0.282 -13.202         0.596
  nodefactor.deg.5.1     NA   17.818       NA  0.990      NA         4.789
                     SD(Statistic)
  edges                      1.983
  nodematch.race             1.180
  nodefactor.deg.5.1         4.355
  
  
  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: 10
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 14
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 18
  Population Size: 56
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 18
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 14
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 15
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 17
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 17
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 14
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 15
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 16
  Population Size: 55
  ----------------------------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    0.000       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA   14.533       NA   1.33      NA         2.701
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         5.153
  
  
  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    0.000       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA   14.533       NA   1.33      NA         2.701
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         5.153
  
  
  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   25.000    0.000  1.429   0.000         1.400
  nodematch.race     10   10.333    3.333  0.766   0.435         0.702
                 SD(Statistic)
  edges                  5.438
  nodematch.race         2.968
  
  
  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    3.675       NA  0.321      NA         0.169
  nodefactor.deg.2.2     NA    9.267       NA  1.083      NA         3.630
                     SD(Statistic)
  mean.age                   1.245
  nodefactor.deg.2.2         5.378
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   17.800       NA  0.967      NA         2.272         3.745
  degree1     NA   17.467       NA  0.878      NA         1.747         3.399
  degree2     NA   11.867       NA  0.899      NA         0.306         3.482
  degree3     NA    3.067       NA  0.271      NA         0.115         1.870
  
  
  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   23.667   -5.333  0.820  -1.625         3.402
  nodematch.race         10    9.933   -0.667  0.636  -0.105         2.610
  nodefactor.deg.5.1     NA   18.467       NA  0.894      NA         3.700
                     SD(Statistic)
  edges                      3.177
  nodematch.race             2.463
  nodefactor.deg.5.1         3.461
  
  
  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: 18
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 20
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 19
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 22
  Population Size: 55
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 24
  Population Size: 55
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 25
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 17
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 18
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 19
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 22
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 23
  Population Size: 57
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 15
  Population Size: 55
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 16
  Population Size: 55
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 16
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 14
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 15
  Population Size: 51
  ----------------------------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    0.000       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA   13.515       NA  0.699      NA         3.207
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         4.995
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 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    0.000       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA   13.515       NA  0.699      NA         3.207
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         4.995
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: sim.num s.num i.num num si.flow ds.flow di.flow 
  a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  Other Elements: attr el temp net_attr
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   25.879    3.515  0.887   0.990         1.122
  nodematch.race     10   10.545    5.455  0.435   1.253         0.962
                 SD(Statistic)
  edges                  5.098
  nodematch.race         2.980
  
  
  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    5.625       NA  0.964      NA         0.213
  nodefactor.deg.2.2     NA    7.485       NA  0.883      NA         3.094
                     SD(Statistic)
  mean.age                   2.072
  nodefactor.deg.2.2         5.075
  
  
  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   18.939       NA  0.781      NA         1.546         4.486
  degree1     NA   17.788       NA  0.424      NA         1.261         3.248
  degree2     NA   10.848       NA  0.360      NA         0.815         3.327
  degree3     NA    3.515       NA  0.127      NA         0.458         2.108
  
  
  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   21.697  -13.212  1.777  -1.859         4.994
  nodematch.race         10    8.970  -10.303  1.373  -0.750         3.662
  nodefactor.deg.5.1     NA   17.667       NA  0.840      NA         3.611
                     SD(Statistic)
  edges                      5.542
  nodematch.race             3.712
  nodefactor.deg.5.1         3.559
  
  
  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] 1.06250 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.03125
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.000000 1.000000 1.000000 1.086957 1.000000 1.000000 1.000000 1.000000
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.900000 2.727273 3.142857 3.785714 1.944444 2.941176 3.473684 3.761905
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.928571 2.500000 3.000000 3.565217 1.884615 2.840000 3.750000 4.350000
  
  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 1945 | 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 1945 | SKIP 113 | PASS 2078 ]
  Error: Test failures
  Execution halted