Running ‘test-all.R’ [431s/441s]
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' 1.19.0 (2024-12-08), 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' 0.11.5 (2024-11-21), 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' 4.11.0 (2025-12-22), 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' 4.2.2 (2025-06-15), 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, replace
  
  
  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     48.2     -3.6  0.763  -2.359            NA
  offset(deg6+)             NA      0.0       NA    NaN      NA            NA
  nodematch.sex              0      0.0      NaN    NaN     NaN            NA
  nodematch.race            20     17.1    -14.5  0.912  -3.179            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                         6.125
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                2.885
  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    48.62    -2.76  0.627  -2.203         3.775
  offset(deg6+)             NA     0.00       NA    NaN      NA         0.000
  nodematch.sex              0     0.00      NaN    NaN     NaN         0.000
  nodematch.race            20    20.38     1.90  0.376   1.012         2.260
  deg6+                      0     0.00      NaN    NaN     NaN         0.000
  offset(nodematch.sex)     NA     0.00       NA    NaN      NA         0.000
  degree5                    0     0.00      NaN    NaN     NaN         0.000
                        SD(Statistic)
  edges                         4.430
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                2.656
  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    9.446   -5.543  0.173  -3.199         1.309         1.331
  
  Dissolution Diagnostics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.108    8.301  0.004   1.922         0.014         0.045
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 2
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.5
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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     47.6     -4.8  1.408  -1.705         1.131
  offset(deg6+)             NA      0.0       NA    NaN      NA         0.000
  nodematch.sex              0      0.0      NaN    NaN     NaN         0.000
  nodematch.race            20     20.8      4.0  1.405   0.569         5.374
  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                         4.452
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                4.442
  deg6+                         0.000
  offset(nodematch.sex)         0.000
  degree5                       0.000
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10     10.1    0.995  0.429   0.232         1.433         1.358
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1     0.11   10.355  0.011   0.908         0.013         0.036
  
  
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
  - Calculating formation statisticsEpiModel Network Diagnostics
  =======================
  Diagnostic Method: Static
  Simulations: 10
  
  Formation Diagnostics
  ----------------------- 
                        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                     50     51.4      2.8  1.367   1.024            NA
  offset(deg6+)             NA      0.0       NA    NaN      NA            NA
  nodematch.sex              0      0.0      NaN    NaN     NaN            NA
  nodematch.race            20     22.8     14.0  0.764   3.663            NA
  deg6+                      0      0.0      NaN    NaN     NaN            NA
  offset(nodematch.sex)     NA      0.0       NA    NaN      NA            NA
  degree5                    0      0.0      NaN    NaN     NaN            NA
                        SD(Statistic)
  edges                         7.058
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                5.453
  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    48.56    -2.88  0.673  -2.139         4.335
  offset(deg6+)             NA     0.00       NA    NaN      NA         0.000
  nodematch.sex              0     0.00      NaN    NaN     NaN         0.000
  nodematch.race            20    19.58    -2.10  0.415  -1.013         2.171
  deg6+                      0     0.00      NaN    NaN     NaN         0.000
  offset(nodematch.sex)     NA     0.00       NA    NaN      NA         0.000
  degree5                    0     0.00      NaN    NaN     NaN         0.000
                        SD(Statistic)
  edges                         4.760
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                2.907
  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   10.043    0.426  0.206   0.207         1.373         1.457
  
  Dissolution Diagnostics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1      0.1    0.162  0.006   0.027         0.016         0.042
  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: 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     50.1      0.2  1.779   0.056         6.930
  offset(deg6+)             NA      0.0       NA    NaN      NA         0.000
  nodematch.sex              0      0.0      NaN    NaN     NaN         0.000
  nodematch.race            20     18.5     -7.5  0.860  -1.745         2.687
  deg6+                      0      0.0      NaN    NaN     NaN         0.000
  offset(nodematch.sex)     NA      0.0       NA    NaN      NA         0.000
  degree5                    0      0.0      NaN    NaN     NaN         0.000
                        SD(Statistic)
  edges                         5.626
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                2.718
  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    8.777  -12.229  0.348  -3.517         1.418           1.1
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.099    -0.69  0.011   -0.06         0.012         0.036
  
  Saving _problems/test-get-90.R
  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.run = TRUE
  save.cumulative.edgelist = FALSE
  save.other =
  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: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 12
  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: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 16
  Population Size: 50
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  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    8.981  -10.186  0.343  -2.974         1.246         1.327
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1      0.1   -0.029  0.018  -0.002         0.007         0.068
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  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    8.981  -10.186  0.343  -2.974         1.246         1.327
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1      0.1   -0.029  0.018  -0.002         0.007         0.068
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   25.600    2.400  0.914   0.656         3.143
  nodematch.race     10    9.667   -3.333  0.779  -0.428         2.053
                 SD(Statistic)
  edges                  3.542
  nodematch.race         3.016
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1     1.02    2.044  0.007   2.762         0.008         0.029
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.982   -1.808  0.006  -2.841         0.009         0.025
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
           Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  mean.age     NA    3.537       NA  0.298      NA         0.234         1.155
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   19.104   -4.482  1.533  -0.585         6.882         5.939
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.064   27.165   0.02   0.684          0.03         0.077
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   17.467       NA  0.887      NA         2.248         5.290
  degree1     NA   19.333       NA  0.622      NA         0.231         2.410
  degree2     NA    9.000       NA  0.709      NA         1.114         3.684
  degree3     NA    3.400       NA  0.423      NA         0.529         1.639
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.022    2.245  0.005   4.837         0.012         0.027
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.977   -2.315  0.005  -4.522         0.009         0.028
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   23.200   -7.200  0.894  -2.014         3.811
  nodematch.race     10   10.067    0.667  0.182   0.367         0.611
                 SD(Statistic)
  edges                  3.364
  nodematch.race         0.704
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   20.536    2.678  0.799    0.67         3.399         3.096
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.047   -6.658  0.008  -0.408         0.018         0.032
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 22
  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: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 26
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 30
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 31
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 33
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 16
  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: 23
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 26
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 28
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
           Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  triangle     NA    0.061       NA  0.073      NA         0.105         0.242
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10     9.56   -4.401  0.436  -1.009         1.935         1.948
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.093   -6.741  0.006  -1.149         0.016         0.058
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
           Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  triangle     NA    0.061       NA  0.073      NA         0.105         0.242
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10     9.56   -4.401  0.436  -1.009         1.935         1.948
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.093   -6.741  0.006  -1.149         0.016         0.058
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   26.121    4.485  0.674   1.664         1.500
  nodematch.race     10   10.242    2.424  0.233   1.038         1.506
                 SD(Statistic)
  edges                  3.871
  nodematch.race         2.634
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.028    2.826  0.007   4.001         0.007         0.041
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.974   -2.552  0.006  -4.095         0.011         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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
           Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  mean.age     NA    5.525       NA  0.989      NA         0.479         2.193
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20    19.89   -0.549   0.71  -0.155         2.904         3.215
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05     0.06   19.929  0.007   1.457          0.01         0.062
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   18.121       NA  0.545      NA         1.129         4.554
  degree1     NA   19.333       NA  0.541      NA         0.825         3.697
  degree2     NA    8.879       NA  0.385      NA         0.052         2.826
  degree3     NA    2.909       NA  0.213      NA         0.273         1.466
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.016    1.569  0.004   3.799         0.005         0.024
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.984   -1.557  0.004   -3.76         0.004         0.024
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   22.970   -8.121  0.656  -3.095         2.213
  nodematch.race     10   10.091    0.909  0.349   0.260         1.273
                 SD(Statistic)
  edges                  2.663
  nodematch.race         1.422
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   17.764   -11.18  0.667   -3.35         3.422         3.121
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.051    2.394  0.006   0.204         0.017         0.043
  
  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.run = TRUE
  save.cumulative.edgelist = FALSE
  save.other =
  verbose = TRUE
  verbose.int = 1
  skip.check = FALSE
  raw.output = FALSE
  tergmLite.track.duration = TRUE
  save.diss.stats = TRUE
  attr.rules = <list>
  Dynamic Modules: resim_nets.FUN summary_nets.FUN infection.FUN recovery.FUN departures.FUN arrivals.FUN nwupdate.FUN prevalence.FUN
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 2/5
  Prevalence: 10
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 10
  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: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 23
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.200       NA  0.185      NA         0.346
  nodefactor.deg.4.1     NA   18.667       NA  0.925      NA         4.216
                     SD(Statistic)
  triangle                   0.414
  nodefactor.deg.4.1         5.972
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.172    1.718  0.601   0.286         2.631         2.329
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1     0.12   19.843  0.014    1.41         0.026         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
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.200       NA  0.185      NA         0.346
  nodefactor.deg.4.1     NA   18.667       NA  0.925      NA         4.216
                     SD(Statistic)
  triangle                   0.414
  nodefactor.deg.4.1         5.972
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.172    1.718  0.601   0.286         2.631         2.329
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1     0.12   19.843  0.014    1.41         0.026         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
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   24.000   -4.000  1.401  -0.714         3.105
  nodematch.race     10    8.933  -10.667  0.643  -1.658         0.945
                 SD(Statistic)
  edges                  5.425
  nodematch.race         2.492
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.015    1.526  0.005    2.97         0.008          0.02
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.983   -1.721  0.003  -5.222         0.009         0.022
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    3.758       NA  0.332      NA         0.149
  nodefactor.deg.2.2     NA    9.067       NA  0.700      NA         2.157
                     SD(Statistic)
  mean.age                   1.286
  nodefactor.deg.2.2         3.863
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20    21.46    7.302  1.079   1.354         4.843         4.178
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.053    6.221  0.006   0.511         0.019         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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   17.867       NA  1.041      NA         1.701         4.033
  degree1     NA   17.267       NA  0.375      NA         0.757         2.120
  degree2     NA   10.867       NA  0.668      NA         0.808         2.588
  degree3     NA    2.667       NA  0.549      NA         0.115         2.127
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1     1.02    2.019  0.011    1.88         0.018         0.034
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.984   -1.631  0.009  -1.917         0.014         0.027
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   29.867   19.467  0.601   8.104         2.403
  nodematch.race         10   14.533   45.333  0.616   7.357         2.759
  nodefactor.deg.5.1     NA   18.467       NA  0.915      NA         3.946
                     SD(Statistic)
  edges                      2.326
  nodematch.race             2.386
  nodefactor.deg.5.1         3.543
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   19.903   -0.483  0.896  -0.108         3.963         3.471
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.049   -1.993   0.01  -0.102         0.005         0.038
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 28
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 30
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 32
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 36
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 23
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 26
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.121       NA  0.197      NA         0.210
  nodefactor.deg.4.1     NA   18.667       NA  0.913      NA         2.911
                     SD(Statistic)
  triangle                   0.331
  nodefactor.deg.4.1         5.242
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.533     5.33  0.251   2.122         0.713         1.166
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.108    8.258  0.012   0.703         0.002         0.067
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.121       NA  0.197      NA         0.210
  nodefactor.deg.4.1     NA   18.667       NA  0.913      NA         2.911
                     SD(Statistic)
  triangle                   0.331
  nodefactor.deg.4.1         5.242
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.533     5.33  0.251   2.122         0.713         1.166
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.108    8.258  0.012   0.703         0.002         0.067
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   24.061   -3.758  0.828  -1.135         0.845
  nodematch.race     10    9.455   -5.455  0.356  -1.530         0.787
                 SD(Statistic)
  edges                  4.756
  nodematch.race         2.563
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.017    1.708  0.004    4.23         0.004         0.023
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.983   -1.709  0.003  -6.582         0.005         0.022
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    5.977       NA  1.065      NA         0.146
  nodefactor.deg.2.2     NA    8.545       NA  0.653      NA         1.102
                     SD(Statistic)
  mean.age                   2.348
  nodefactor.deg.2.2         3.751
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   21.222     6.11  0.693   1.763         4.046         3.662
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05     0.06   20.581  0.006    1.59         0.018         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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   18.636       NA  0.684      NA         0.727         3.928
  degree1     NA   18.061       NA  0.313      NA         0.210         2.371
  degree2     NA    9.636       NA  0.502      NA         0.241         2.881
  degree3     NA    2.606       NA  0.308      NA         0.367         1.767
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.015    1.494  0.006   2.663         0.014         0.026
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.986   -1.387  0.005  -2.815         0.013         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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   29.303   17.212  0.467   9.223         1.186
  nodematch.race         10   14.667   46.667  0.760   6.142         2.399
  nodefactor.deg.5.1     NA   18.182       NA  0.746      NA         2.834
                     SD(Statistic)
  edges                      1.862
  nodematch.race             2.175
  nodefactor.deg.5.1         3.036
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   20.353    1.767  1.188   0.297         3.592         3.567
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.053    6.122  0.004   0.698         0.008         0.035
  
  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.run = TRUE
  save.cumulative.edgelist = FALSE
  save.other =
  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: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 15
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 16
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 18
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 17
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 14
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 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
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA      0.0       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA     18.2       NA  1.192      NA         3.143
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         4.617
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    8.385  -16.148  0.364  -4.434         1.298          1.41
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.156   56.328  0.019   2.929          0.03         0.074
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA      0.0       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA     18.2       NA  1.192      NA         3.143
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         4.617
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    8.385  -16.148  0.364  -4.434         1.298          1.41
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.156   56.328  0.019   2.929          0.03         0.074
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   25.400    1.600  0.402   0.996         0.693
  nodematch.race     10   10.067    0.667  0.502   0.133         1.332
                 SD(Statistic)
  edges                  2.586
  nodematch.race         1.944
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.025    2.452  0.007   3.699         0.009         0.026
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.976   -2.449  0.007  -3.756         0.006         0.025
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    3.491       NA  0.283      NA         0.041
  nodefactor.deg.2.2     NA    8.400       NA  0.559      NA         0.200
                     SD(Statistic)
  mean.age                   1.095
  nodefactor.deg.2.2         2.165
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   14.337  -28.317  0.549  -10.31         2.181         2.127
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.109  117.019  0.013   4.642         0.013         0.064
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   18.667       NA  1.120      NA         2.663         4.337
  degree1     NA   18.333       NA  0.766      NA         1.724         2.968
  degree2     NA    8.333       NA  0.934      NA         2.301         3.619
  degree3     NA    3.467       NA  0.327      NA         0.902         1.959
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.018    1.843  0.004   4.272         0.011         0.025
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.983   -1.729  0.004  -4.462          0.01         0.023
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   29.133   16.533  1.664   2.483         7.338
  nodematch.race         10   11.600   16.000  0.349   4.583         0.917
  nodefactor.deg.5.1     NA   19.133       NA  0.616      NA         2.301
                     SD(Statistic)
  edges                      6.446
  nodematch.race             1.352
  nodefactor.deg.5.1         2.386
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20    19.78     -1.1  0.368  -0.597         1.089         1.426
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05     0.07   39.544  0.013   1.528         0.005          0.05
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 17
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 19
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 22
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 24
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 18
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 20
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 23
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 24
  Population Size: 55
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 27
  Population Size: 57
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 28
  Population Size: 58
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 19
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 20
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 23
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 26
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 27
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 30
  Population Size: 53
  ----------------------------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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.030       NA  0.052      NA         0.052
  nodefactor.deg.4.1     NA   16.879       NA  0.691      NA         1.554
                     SD(Statistic)
  triangle                   0.174
  nodefactor.deg.4.1         3.967
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.739     7.39  0.662   1.117         1.741         2.537
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.138   38.257  0.016   2.343         0.012         0.094
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.030       NA  0.052      NA         0.052
  nodefactor.deg.4.1     NA   16.879       NA  0.691      NA         1.554
                     SD(Statistic)
  triangle                   0.174
  nodefactor.deg.4.1         3.967
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   10.739     7.39  0.662   1.117         1.741         2.537
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.138   38.257  0.016   2.343         0.012         0.094
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   25.788    3.152  0.285   2.761         0.619
  nodematch.race     10   10.394    3.939  0.323   1.221         0.501
                 SD(Statistic)
  edges                  2.619
  nodematch.race         1.853
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.018     1.84  0.004   4.632          0.01         0.023
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.982   -1.843  0.004  -4.675         0.009         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
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    5.296       NA  0.893      NA         0.301
  nodefactor.deg.2.2     NA    7.364       NA  0.490      NA         0.568
                     SD(Statistic)
  mean.age                   1.948
  nodefactor.deg.2.2         2.815
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   16.791  -16.045  1.067  -3.007         3.335         3.374
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.099   97.018  0.015   3.314         0.008         0.084
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   18.970       NA  0.619      NA         1.409         5.145
  degree1     NA   19.000       NA  0.494      NA         0.877         2.839
  degree2     NA    8.485       NA  0.334      NA         1.137         3.251
  degree3     NA    3.273       NA  0.186      NA         0.328         1.737
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.024    2.387  0.004   5.958         0.011         0.031
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.978   -2.171  0.003   -7.32          0.01         0.026
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   25.273    1.091  2.743   0.099         5.511
  nodematch.race         10   10.121    1.212  0.499   0.243         0.448
  nodefactor.deg.5.1     NA   17.939       NA  0.726      NA         1.873
                     SD(Statistic)
  edges                      6.404
  nodematch.race             1.980
  nodefactor.deg.5.1         2.968
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   18.702   -6.491  1.297  -1.001         3.603         4.779
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.086   72.575  0.008   4.763         0.016         0.054
  
  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.run = TRUE
  save.cumulative.edgelist = FALSE
  save.other =
  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: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 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: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 10
  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: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 15
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.667       NA  0.285      NA         0.702
  nodefactor.deg.4.1     NA   20.600       NA  0.763      NA         6.844
                     SD(Statistic)
  triangle                   0.900
  nodefactor.deg.4.1         7.278
  
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.667       NA  0.285      NA         0.702
  nodefactor.deg.4.1     NA   20.600       NA  0.763      NA         6.844
                     SD(Statistic)
  triangle                   0.900
  nodefactor.deg.4.1         7.278
  
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   27.467    9.867  1.591   1.550         4.884
  nodematch.race     10   10.400    4.000  0.458   0.873         1.709
                 SD(Statistic)
  edges                  6.163
  nodematch.race         2.530
  
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    3.715       NA  0.329      NA         0.094
  nodefactor.deg.2.2     NA   11.733       NA  0.872      NA         2.157
                     SD(Statistic)
  mean.age                   1.276
  nodefactor.deg.2.2         4.743
  
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   18.533       NA  1.276      NA         2.318         4.941
  degree1     NA   18.733       NA  0.587      NA         2.386         3.788
  degree2     NA    9.000       NA  0.905      NA         0.346         3.505
  degree3     NA    2.867       NA  0.729      NA         0.462         2.825
  
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   21.467  -14.133  0.818  -4.318         2.641
  nodematch.race         10    9.200   -8.000  0.145  -5.527         0.000
  nodefactor.deg.5.1     NA   19.467       NA  0.839      NA         3.711
                     SD(Statistic)
  edges                      2.588
  nodematch.race             0.561
  nodefactor.deg.5.1         3.248
  
  
  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: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 26
  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: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 28
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 29
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 31
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 36
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 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: 22
  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: 31
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.333       NA  0.174      NA         0.278
  nodefactor.deg.4.1     NA   20.606       NA  1.022      NA         2.900
                     SD(Statistic)
  triangle                   0.692
  nodefactor.deg.4.1         6.169
  
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.333       NA  0.174      NA         0.278
  nodefactor.deg.4.1     NA   20.606       NA  1.022      NA         2.900
                     SD(Statistic)
  triangle                   0.692
  nodefactor.deg.4.1         6.169
  
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   26.303    5.212   0.62   2.103         3.254
  nodematch.race     10   10.455    4.545   0.53   0.858         0.923
                 SD(Statistic)
  edges                  5.486
  nodematch.race         3.042
  
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    5.905       NA  1.093      NA         0.314
  nodefactor.deg.2.2     NA   11.333       NA  0.393      NA         0.972
                     SD(Statistic)
  mean.age                   2.369
  nodefactor.deg.2.2         4.539
  
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   18.364       NA  0.796      NA         0.777         4.575
  degree1     NA   18.636       NA  0.322      NA         1.644         3.210
  degree2     NA    9.152       NA  0.276      NA         1.014         3.447
  degree3     NA    2.667       NA  0.226      NA         0.105         2.300
  
  
  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: s.num i.num num si.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   22.879   -8.485  0.663  -3.200         2.651
  nodematch.race         10    8.818  -11.818  0.277  -4.267         0.630
  nodefactor.deg.5.1     NA   18.152       NA  1.163      NA         4.777
                     SD(Statistic)
  edges                      3.228
  nodematch.race             1.261
  nodefactor.deg.5.1         4.665
  
  
  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.run = TRUE
  save.cumulative.edgelist = FALSE
  save.other =
  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: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 11
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 13
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 10
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 14
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 18
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 20
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 15
  Population Size: 45
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 17
  Population Size: 45
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 16
  Population Size: 44
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.067       NA  0.115      NA         0.115
  nodefactor.deg.4.1     NA   20.467       NA  1.004      NA         1.222
                     SD(Statistic)
  triangle                   0.258
  nodefactor.deg.4.1         3.889
  
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.067       NA  0.115      NA         0.115
  nodefactor.deg.4.1     NA   20.467       NA  1.004      NA         1.222
                     SD(Statistic)
  triangle                   0.258
  nodefactor.deg.4.1         3.889
  
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   22.867   -8.533  1.245  -1.713         3.818
  nodematch.race     10    9.000  -10.000  0.622  -1.608         1.400
                 SD(Statistic)
  edges                  4.824
  nodematch.race         3.505
  
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    3.677       NA  0.315      NA         0.032
  nodefactor.deg.2.2     NA   11.467       NA  0.843      NA         2.759
                     SD(Statistic)
  mean.age                   1.221
  nodefactor.deg.2.2         5.592
  
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   17.533       NA  1.552      NA         2.101         6.010
  degree1     NA   17.867       NA  0.723      NA         1.155         2.800
  degree2     NA    9.133       NA  0.798      NA         0.808         3.091
  degree3     NA    3.467       NA  0.257      NA         0.611         1.885
  
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   22.133  -11.467  1.014  -2.828         3.361
  nodematch.race         10   10.133    1.333  0.661   0.202         1.701
  nodefactor.deg.5.1     NA   15.533       NA  0.716      NA         2.386
                     SD(Statistic)
  edges                      3.925
  nodematch.race             2.560
  nodefactor.deg.5.1         2.774
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 13
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 15
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 18
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 19
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 22
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 22
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 20
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 21
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 23
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 25
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 25
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 16
  Population Size: 44
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 17
  Population Size: 43
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 19
  Population Size: 44
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 19
  Population Size: 45
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 17
  Population Size: 43
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 17
  Population Size: 42
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.091       NA  0.088      NA         0.157
  nodefactor.deg.4.1     NA   19.909       NA  0.885      NA         1.774
                     SD(Statistic)
  triangle                   0.292
  nodefactor.deg.4.1         5.083
  
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  triangle               NA    0.091       NA  0.088      NA         0.157
  nodefactor.deg.4.1     NA   19.909       NA  0.885      NA         1.774
                     SD(Statistic)
  triangle                   0.292
  nodefactor.deg.4.1         5.083
  
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                 Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges              25   24.879   -0.485  0.694  -0.175         1.565
  nodematch.race     10    9.091   -9.091  0.573  -1.587         0.472
                 SD(Statistic)
  edges                  6.642
  nodematch.race         3.292
  
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  mean.age               NA    5.405       NA  0.878      NA         0.322
  nodefactor.deg.2.2     NA    9.697       NA  0.829      NA         1.994
                     SD(Statistic)
  mean.age                   1.932
  nodefactor.deg.2.2         4.760
  
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
          Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  degree0     NA   17.848       NA  0.966      NA         0.794         5.552
  degree1     NA   18.273       NA  0.363      NA         1.420         3.859
  degree2     NA    8.848       NA  0.540      NA         0.735         3.104
  degree3     NA    2.970       NA  0.207      NA         0.605         1.879
  
  
  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: s.num i.num num si.flow ds.flow di.flow a.flow
  Networks: sim1 ... sim3
  Transmissions: sim1 ... sim3
  
  Formation Statistics
  ----------------------- 
                     Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                  25   17.848  -28.606  2.088  -3.426         3.755
  nodematch.race         10    7.242  -27.576  1.623  -1.699         1.617
  nodefactor.deg.5.1     NA   14.424       NA  1.004      NA         1.415
                     SD(Statistic)
  edges                      5.546
  nodematch.race             3.336
  nodefactor.deg.5.1         2.681
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.000000 1.050000 1.032258 1.000000 1.045455 1.000000 1.000000 1.000000
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.040000 1.000000 1.064516 1.000000 1.000000 1.040000 1.000000 1.055556
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.964286 2.827586 3.807692 4.560000 1.777778 2.517241 3.538462 4.181818
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.875000 2.750000 3.636364 4.200000 1.909091 2.800000 3.473684 3.761905
  
  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 1 | SKIP 113 | PASS 2147 ]
  
  ══ Skipped tests (113) ═════════════════════════════════════════════════════════
  • On CRAN (113): 'test-cumulative_edgelist.R:20:3',
    'test-cumulative_edgelist.R:85:3', 'test-cumulative_edgelist.R:106:3',
    '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:116:5', 'test-netdx.R:161:5',
    'test-netdx.R:189:5', 'test-netdx.R:216:5', 'test-netdx.R:246:5',
    'test-netdx.R:263:5', 'test-netdx.R:276:5', 'test-netdx.R:290:5',
    'test-netdx.R:314:5', 'test-netdx.R:6:5', 'test-netdx.R:75:5',
    'test-netdx.R:100:5', 'test-netdx.R:116:5', 'test-netdx.R:161:5',
    'test-netdx.R:189:5', 'test-netdx.R:216:5', 'test-netdx.R:246:5',
    'test-netdx.R:263:5', 'test-netdx.R:276:5', 'test-netdx.R:290:5',
    'test-netdx.R:314:5', 'test-netdx.R:365:3', 'test-netdx.R:388:3',
    'test-netrestart.R:4:3', 'test-netrestart.R:36:3',
    '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:93:3'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-get.R:90:3'): get_sims extracts simulations ────────────────────
  Error in `xtfrm.data.frame(structure(list(sim1 = 1.66666666666667, sim2 = 0.333333333333332, sim3 = 1.33333333333333), row.names = 10L, class = "data.frame"))`: cannot xtfrm data frames
  Backtrace:
      ▆
   1. ├─testthat::expect_is(...) at test-get.R:90:3
   2. │ └─testthat::quasi_label(enquo(object), label)
   3. │   └─rlang::eval_bare(expr, quo_get_env(quo))
   4. └─EpiModel::get_sims(mod, sims = "mean", var = "i.num")
   5.   ├─base::xtfrm(`<df[,3]>`)
   6.   └─base::xtfrm.data.frame(`<df[,3]>`)
  
  [ FAIL 1 | WARN 1 | SKIP 113 | PASS 2147 ]
  Error:
  ! Test failures.
  Execution halted