Running ‘test-all.R’ [227s/257s]
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     54.5      9.0  1.579   2.849            NA
  offset(deg6+)             NA      0.0       NA    NaN      NA            NA
  nodematch.sex              0      0.0      NaN    NaN     NaN            NA
  nodematch.race            20     22.3     11.5  1.012   2.274            NA
  deg6+                      0      0.0      NaN    NaN     NaN            NA
  offset(nodematch.sex)     NA      0.0       NA    NaN      NA            NA
  degree5                    0      0.0      NaN    NaN     NaN            NA
                        SD(Statistic)
  edges                         4.994
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                3.199
  deg6+                         0.000
  offset(nodematch.sex)         0.000
  degree5                       0.000
  
  Network Diagnostics
  -----------------------
  - Simulating 10 networks
   |**********|
  - Calculating formation statisticsEpiModel Network Diagnostics
  =======================
  Diagnostic Method: Dynamic
  Simulations: 10
  Time Steps per Sim: 5
  
  Formation Diagnostics
  ----------------------- 
                        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means)
  edges                     50    51.04     2.08  0.906   1.148         6.342
  offset(deg6+)             NA     0.00       NA    NaN      NA         0.000
  nodematch.sex              0     0.00      NaN    NaN     NaN         0.000
  nodematch.race            20    20.82     4.10  0.594   1.380         4.039
  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                         6.408
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                4.202
  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    9.887   -1.128  0.168  -0.671         1.413         1.422
  
  Dissolution Diagnostics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1      0.1   -0.264  0.005  -0.055         0.018         0.038
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 2
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.5
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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     49.7     -0.6  2.422  -0.124         9.475
  offset(deg6+)             NA      0.0       NA    NaN      NA         0.000
  nodematch.sex              0      0.0      NaN    NaN     NaN         0.000
  nodematch.race            20     21.3      6.5  1.055   1.233         3.536
  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                         7.660
  offset(deg6+)                 0.000
  nodematch.sex                 0.000
  nodematch.race                3.335
  deg6+                         0.000
  offset(nodematch.sex)         0.000
  degree5                       0.000
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.569   -4.309  0.312  -1.379         1.272         0.988
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.092   -8.029  0.018  -0.436         0.007         0.058
  
  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: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 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: 12
  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     9.05   -9.502  0.257  -3.699         0.952         0.995
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.087  -13.122  0.015  -0.862         0.031         0.059
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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     9.05   -9.502  0.257  -3.699         0.952         0.995
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.087  -13.122  0.015  -0.862         0.031         0.059
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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   22.600   -9.600  1.166  -2.058         0.872
  nodematch.race     10    9.933   -0.667  0.458  -0.145         0.833
                 SD(Statistic)
  edges                  4.517
  nodematch.race         2.492
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.017    1.678  0.008   2.119          0.01         0.031
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1     0.98   -1.968   0.01  -1.903         0.009          0.04
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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    3.664       NA  0.332      NA         0.197         1.284
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20    18.73   -6.352  0.989  -1.285         4.438          3.83
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.058    15.02  0.009   0.823         0.019         0.035
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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   15.933       NA  1.021      NA         1.102         3.955
  degree1     NA   20.133       NA  0.524      NA         1.858         2.031
  degree2     NA    9.600       NA  0.522      NA         1.058         3.019
  degree3     NA    3.667       NA  0.412      NA         1.677         2.257
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.013    1.333  0.006   2.167         0.012          0.03
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.989   -1.111  0.005  -2.279         0.011         0.024
  
  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   24.733   -1.067  0.686  -0.389         5.515
  nodematch.race     10   11.000   10.000  0.717   1.394         3.175
                 SD(Statistic)
  edges                  4.728
  nodematch.race         2.777
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   17.169  -14.153  0.543  -5.212         1.761         2.051
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.068   36.365   0.01   1.773         0.029         0.051
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 27
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 28
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 23
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 24
  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: 19
  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: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 24
  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    0.212       NA  0.117      NA         0.292         0.415
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    11.26   12.598  0.818    1.54         2.155         2.324
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.091   -9.385   0.01   -0.95         0.013          0.05
  
  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    0.212       NA  0.117      NA         0.292         0.415
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    11.26   12.598  0.818    1.54         2.155         2.324
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.091   -9.385   0.01   -0.95         0.013          0.05
  
  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   23.788   -4.848  0.823  -1.473         0.729
  nodematch.race     10   10.091    0.909  0.203   0.449         0.241
                 SD(Statistic)
  edges                  4.729
  nodematch.race         2.720
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.017    1.676  0.005   3.657         0.002         0.026
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1     0.98   -1.965  0.006  -3.374         0.004         0.033
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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    5.928       NA  1.112      NA         0.377         2.429
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   19.202   -3.989  0.769  -1.038          4.52         3.863
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.048   -4.638  0.005  -0.488         0.008         0.036
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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   17.364       NA  0.806      NA         1.429         5.147
  degree1     NA   19.273       NA  0.372      NA         0.744         3.564
  degree2     NA    9.424       NA  0.476      NA         1.392         3.553
  degree3     NA    3.182       NA  0.158      NA         0.958         2.038
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.018    1.751  0.004   4.705         0.013         0.032
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.984   -1.645  0.004   -3.68         0.014         0.032
  
  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  1.007  -0.933         4.504
  nodematch.race     10   10.212    2.121  0.600   0.354         3.358
                 SD(Statistic)
  edges                  4.062
  nodematch.race         2.997
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   17.199  -14.003  0.285  -9.816         1.804         1.787
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.056   11.662  0.007   0.828         0.015         0.048
  
  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: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 14
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 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: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 22
  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    0.467       NA  0.235      NA         0.643
  nodefactor.deg.4.1     NA   18.267       NA  1.062      NA         2.403
                     SD(Statistic)
  triangle                   0.743
  nodefactor.deg.4.1         4.114
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.091   -9.092  0.343  -2.652          1.33         1.328
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1     0.08  -20.093  0.016  -1.241         0.026         0.063
  
  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    0.467       NA  0.235      NA         0.643
  nodefactor.deg.4.1     NA   18.267       NA  1.062      NA         2.403
                     SD(Statistic)
  triangle                   0.743
  nodefactor.deg.4.1         4.114
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.091   -9.092  0.343  -2.652          1.33         1.328
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1     0.08  -20.093  0.016  -1.241         0.026         0.063
  
  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   24.400   -2.400  1.290  -0.465         3.904
  nodematch.race     10    9.533   -4.667  0.583  -0.800         1.701
                 SD(Statistic)
  edges                  4.997
  nodematch.race         2.875
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.027    2.725  0.011    2.56         0.012         0.041
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.974   -2.574  0.009  -2.736         0.009         0.036
  
  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    3.641       NA  0.318      NA         0.105
  nodefactor.deg.2.2     NA    9.133       NA  0.614      NA         0.833
                     SD(Statistic)
  mean.age                   1.233
  nodefactor.deg.2.2         3.067
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   20.445    2.223  0.705   0.631         2.968         2.729
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.047   -5.953  0.011  -0.265          0.02         0.044
  
  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   17.733       NA  0.881      NA         2.053         3.411
  degree1     NA   19.400       NA  1.032      NA         2.117         3.996
  degree2     NA    9.200       NA  0.863      NA         0.721         3.342
  degree3     NA    2.667       NA  0.245      NA         1.026         1.799
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.034    3.421  0.009   3.949         0.018         0.034
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.967   -3.259  0.008  -3.936         0.016         0.032
  
  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   26.667    6.667  0.308   5.420         2.901
  nodematch.race         10   11.000   10.000  0.414   2.415         1.587
  nodefactor.deg.5.1     NA   15.400       NA  0.820      NA         3.200
                     SD(Statistic)
  edges                      2.582
  nodematch.race             1.604
  nodefactor.deg.5.1         3.203
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   23.082    15.41  1.189   2.593         5.083         4.604
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.061    22.68  0.008   1.497         0.004         0.048
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 23
  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: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 22
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 26
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 27
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 28
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 29
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 28
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 31
  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    0.212       NA  0.148      NA         0.292
  nodefactor.deg.4.1     NA   18.758       NA  0.822      NA         1.837
                     SD(Statistic)
  triangle                   0.545
  nodefactor.deg.4.1         4.724
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   11.184   11.845  0.352    3.37         1.368         1.484
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.091   -9.249  0.011   -0.84         0.013         0.063
  
  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    0.212       NA  0.148      NA         0.292
  nodefactor.deg.4.1     NA   18.758       NA  0.822      NA         1.837
                     SD(Statistic)
  triangle                   0.545
  nodefactor.deg.4.1         4.724
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10   11.184   11.845  0.352    3.37         1.368         1.484
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.091   -9.249  0.011   -0.84         0.013         0.063
  
  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   25.485    1.939  1.237   0.392         2.728
  nodematch.race     10    9.788   -2.121  0.436  -0.487         1.211
                 SD(Statistic)
  edges                  5.718
  nodematch.race         3.170
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.022    2.183  0.004   5.522         0.009         0.033
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.978   -2.196  0.003  -7.238         0.011         0.033
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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    5.839       NA  1.088      NA         0.198
  nodefactor.deg.2.2     NA    9.758       NA  0.642      NA         2.767
                     SD(Statistic)
  mean.age                   2.379
  nodefactor.deg.2.2         4.677
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   16.992  -15.038  0.619  -4.855         2.288         2.478
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.053    6.686  0.007   0.449         0.015         0.043
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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   18.515       NA  0.623      NA         1.959         3.581
  degree1     NA   18.636       NA  0.604      NA         1.106         3.471
  degree2     NA    9.485       NA  0.457      NA         0.892         3.650
  degree3     NA    2.424       NA  0.295      NA         0.430         1.696
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.024    2.441  0.004   6.904         0.007         0.029
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.974   -2.613  0.006  -4.387         0.008         0.034
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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   25.303    1.212  0.787   0.385         3.046
  nodematch.race         10   10.576    5.758  0.437   1.316         1.325
  nodefactor.deg.5.1     NA   15.424       NA  0.598      NA         1.821
                     SD(Statistic)
  edges                      3.405
  nodematch.race             1.821
  nodefactor.deg.5.1         2.463
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   20.784    3.922   0.71   1.105         2.914         2.877
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.056   11.873  0.007   0.811         0.011          0.05
  
  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: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 11
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 13
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 14
  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: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 12
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 12
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 9
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 11
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 11
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 11
  Population Size: 53
  ----------------------------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    0.000       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA   15.533       NA  0.612      NA         3.443
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         4.438
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.762    -2.38  0.432  -0.551         1.353         1.673
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.124   24.231   0.02   1.222         0.026         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
  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    0.000       NA    NaN      NA         0.000
  nodefactor.deg.4.1     NA   15.533       NA  0.612      NA         3.443
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         4.438
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.762    -2.38  0.432  -0.551         1.353         1.673
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.124   24.231   0.02   1.222         0.026         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
  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   24.333   -2.667  1.027  -0.649         1.026
  nodematch.race     10   10.333    3.333  0.591   0.564         1.102
                 SD(Statistic)
  edges                  3.976
  nodematch.race         2.289
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.016    1.624  0.011   1.502         0.016         0.034
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.982   -1.794  0.011  -1.571         0.019         0.036
  
  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    3.426       NA  0.253      NA         0.204
  nodefactor.deg.2.2     NA    8.467       NA  0.764      NA         2.802
                     SD(Statistic)
  mean.age                   0.978
  nodefactor.deg.2.2         3.980
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20    19.13   -4.351  1.198  -0.726         4.612         4.639
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.139  178.163  0.025   3.562         0.046         0.097
  
  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   20.133       NA  0.744      NA         0.643         5.139
  degree1     NA   17.533       NA  0.975      NA         0.611         3.777
  degree2     NA    7.933       NA  1.002      NA         0.757         3.882
  degree3     NA    2.733       NA  0.299      NA         0.416         1.792
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.018    1.795  0.004   5.109         0.004         0.024
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.978   -2.194  0.008  -2.719         0.005         0.031
  
  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   18.867  -24.533  0.542 -11.312         0.808
  nodematch.race         10    7.333  -26.667  1.080  -2.469         3.870
  nodefactor.deg.5.1     NA   19.133       NA  0.386      NA         0.503
                     SD(Statistic)
  edges                      2.100
  nodematch.race             3.416
  nodefactor.deg.5.1         2.031
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   19.974   -0.129  1.068  -0.024         4.412         4.137
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.105  109.715  0.019   2.826         0.017         0.075
  
  
  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: 52
  ----------------------------
  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: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 19
  Population Size: 49
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 20
  Population Size: 46
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 14
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 15
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 17
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 17
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 16
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 17
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 12
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 12
  Population Size: 55
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 14
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 16
  Population Size: 56
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 16
  Population Size: 55
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 16
  Population Size: 52
  ----------------------------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    0.121       NA  0.197      NA         0.210
  nodefactor.deg.4.1     NA   14.939       NA  0.836      NA         3.443
                     SD(Statistic)
  triangle                   0.331
  nodefactor.deg.4.1         4.802
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.084   -9.157  0.344  -2.665         1.088         1.946
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.148   47.603  0.008   6.128         0.009         0.101
  
  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    0.121       NA  0.197      NA         0.210
  nodefactor.deg.4.1     NA   14.939       NA  0.836      NA         3.443
                     SD(Statistic)
  triangle                   0.331
  nodefactor.deg.4.1         4.802
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     10    9.084   -9.157  0.344  -2.665         1.088         1.946
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges    0.1    0.148   47.603  0.008   6.128         0.009         0.101
  
  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   23.697   -5.212  0.808  -1.613         1.589
  nodematch.race     10    9.727   -2.727  0.489  -0.558         1.139
                 SD(Statistic)
  edges                  4.640
  nodematch.race         2.809
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.015    1.462  0.006   2.598         0.006         0.028
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.985   -1.453  0.006  -2.617         0.008         0.028
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 11
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  a.rate = 0.03
  ds.rate = 0.03
  di.rate = 0.03
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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    5.282       NA  0.863      NA         0.224
  nodefactor.deg.2.2     NA    7.121       NA  0.750      NA         0.548
                     SD(Statistic)
  mean.age                   2.030
  nodefactor.deg.2.2         3.756
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   16.993  -15.034  0.749  -4.016         0.992         2.186
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.123  145.051  0.015   4.788          0.01         0.087
  
  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   19.152       NA  0.691      NA         2.003         5.274
  degree1     NA   18.576       NA  0.476      NA         1.211         3.825
  degree2     NA    8.485       NA  0.355      NA         0.955         3.675
  degree3     NA    3.030       NA  0.251      NA         0.845         1.845
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    1.027    2.712  0.004   6.493         0.005         0.032
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges      1    0.972    -2.84  0.004   -7.88         0.005         0.032
  
  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  0.538 -13.297         1.747
  nodematch.race         10    6.455  -35.455  0.574  -6.175         3.087
  nodefactor.deg.5.1     NA   17.848       NA  0.583      NA         1.211
                     SD(Statistic)
  edges                      2.647
  nodematch.race             2.980
  nodefactor.deg.5.1         2.874
  
  
  Duration Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges     20   15.916  -20.418  0.776  -5.259         1.173         3.131
  
  Dissolution Statistics
  ----------------------- 
        Target Sim Mean Pct Diff Sim SE Z Score SD(Sim Means) SD(Statistic)
  edges   0.05    0.115   129.18   0.01    6.69         0.024         0.076
  
  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: 12
  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: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 17
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 15
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 16
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 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: 18
  Population Size: 50
  ----------------------------EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  groups = 1
  
  Model Output
  -----------------------
  Variables: 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    0.000       NA    NaN      NA           0.0
  nodefactor.deg.4.1     NA   17.867       NA  1.496      NA           3.7
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         5.792
  
  
  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    0.000       NA    NaN      NA           0.0
  nodefactor.deg.4.1     NA   17.867       NA  1.496      NA           3.7
                     SD(Statistic)
  triangle                   0.000
  nodefactor.deg.4.1         5.792
  
  
  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   27.133    8.533  0.689   3.094         2.894
  nodematch.race     10   11.467   14.667  0.872   1.682         1.102
                 SD(Statistic)
  edges                  4.172
  nodematch.race         3.378
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  EpiModel Simulation
  =======================
  Model class: netsim
  
  Simulation Summary
  -----------------------
  Model type: SI
  No. simulations: 3
  No. time steps: 5
  No. NW groups: 1
  
  Fixed Parameters
  ---------------------------
  inf.prob = 0.3
  act.rate = 0.1
  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    3.693       NA  0.339      NA         0.112
  nodefactor.deg.2.2     NA    9.867       NA  0.374      NA         2.274
                     SD(Statistic)
  mean.age                   1.312
  nodefactor.deg.2.2         3.091
  
  
  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   20.600       NA  0.603      NA         1.311         4.611
  degree1     NA   17.933       NA  0.549      NA         0.416         3.634
  degree2     NA    7.933       NA  0.714      NA         0.833         2.764
  degree3     NA    2.800       NA  0.449      NA         0.600         1.740
  
  
  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   29.400   17.600  1.119   3.932         7.034
  nodematch.race         10   13.467   34.667  0.331  10.472         0.611
  nodefactor.deg.5.1     NA   21.800       NA  0.677      NA         4.133
                     SD(Statistic)
  edges                      6.334
  nodematch.race             1.246
  nodefactor.deg.5.1         3.668
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 19
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 21
  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: 25
  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: 18
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 20
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 23
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 24
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 25
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 29
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 21
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 26
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 28
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 30
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 32
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 34
  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    0.152       NA  0.086      NA         0.139
  nodefactor.deg.4.1     NA   17.455       NA  1.027      NA         4.366
                     SD(Statistic)
  triangle                   0.364
  nodefactor.deg.4.1         5.901
  
  
  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    0.152       NA  0.086      NA         0.139
  nodefactor.deg.4.1     NA   17.455       NA  1.027      NA         4.366
                     SD(Statistic)
  triangle                   0.364
  nodefactor.deg.4.1         5.901
  
  
  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   26.788    7.152  0.605   2.957          0.41
  nodematch.race     10   10.333    3.333  0.570   0.585          0.41
                 SD(Statistic)
  edges                  4.519
  nodematch.race         3.276
  
  
  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    5.706       NA  0.977      NA         0.492
  nodefactor.deg.2.2     NA    9.242       NA  0.273      NA         2.680
                     SD(Statistic)
  mean.age                   2.278
  nodefactor.deg.2.2         4.198
  
  
  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   19.182       NA  0.808      NA         0.328         4.640
  degree1     NA   18.303       NA  0.374      NA         0.458         3.331
  degree2     NA    8.636       NA  0.503      NA         0.808         2.892
  degree3     NA    3.030       NA  0.303      NA         0.262         1.741
  
  
  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   28.727   14.909  1.732   2.152         5.565
  nodematch.race         10   13.030   30.303  0.646   4.692         1.538
  nodefactor.deg.5.1     NA   21.455       NA  0.784      NA         2.461
                     SD(Statistic)
  edges                      5.137
  nodematch.race             1.828
  nodefactor.deg.5.1         3.001
  
  
  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: 12
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 3/5
  Prevalence: 12
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 4/5
  Prevalence: 13
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 5/5
  Prevalence: 16
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 3/5
  Prevalence: 10
  Population Size: 53
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 4/5
  Prevalence: 10
  Population Size: 54
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 5/5
  Prevalence: 10
  Population Size: 56
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 2/5
  Prevalence: 11
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 3/5
  Prevalence: 13
  Population Size: 50
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 4/5
  Prevalence: 16
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 5/5
  Prevalence: 18
  Population Size: 49
  ----------------------------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    0.200       NA  0.251      NA         0.346
  nodefactor.deg.4.1     NA   16.267       NA  0.832      NA         0.577
                     SD(Statistic)
  triangle                   0.561
  nodefactor.deg.4.1         4.166
  
  
  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    0.200       NA  0.251      NA         0.346
  nodefactor.deg.4.1     NA   16.267       NA  0.832      NA         0.577
                     SD(Statistic)
  triangle                   0.561
  nodefactor.deg.4.1         4.166
  
  
  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   23.933   -4.267  0.726  -1.470         2.318
  nodematch.race     10    9.267   -7.333  0.864  -0.848         0.987
                 SD(Statistic)
  edges                  4.621
  nodematch.race         3.348
  
  
  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    3.579       NA  0.313      NA         0.185
  nodefactor.deg.2.2     NA    8.533       NA  1.004      NA         2.603
                     SD(Statistic)
  mean.age                   1.211
  nodefactor.deg.2.2         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) SD(Statistic)
  degree0     NA   20.600       NA  0.844      NA         1.970         3.269
  degree1     NA   18.667       NA  0.430      NA         0.833         2.289
  degree2     NA    8.733       NA  0.262      NA         2.023         2.658
  degree3     NA    2.400       NA  0.375      NA         0.400         1.454
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  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   21.533  -13.867  1.929  -1.797         7.700
  nodematch.race         10    9.933   -0.667  1.026  -0.065         3.408
  nodefactor.deg.5.1     NA   19.733       NA  0.502      NA         2.723
                     SD(Statistic)
  edges                      7.472
  nodematch.race             3.973
  nodefactor.deg.5.1         2.865
  
  
  Duration and Dissolution Statistics
  ----------------------- 
  Not available when:
  - `control$tergmLite == TRUE`
  - `control$save.network == FALSE`
  - `control$save.diss.stats == FALSE`
  - dissolution formula is not `~ offset(edges)`
  - `keep.diss.stats == FALSE` (if merging)
  
  
  Starting Network Simulation...
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 6/11
  Prevalence: 18
  Population Size: 52
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 7/11
  Prevalence: 22
  Population Size: 51
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 8/11
  Prevalence: 21
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 9/11
  Prevalence: 24
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 10/11
  Prevalence: 24
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 1/3
  Timestep: 11/11
  Prevalence: 24
  Population Size: 48
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 6/11
  Prevalence: 12
  Population Size: 56
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 7/11
  Prevalence: 15
  Population Size: 57
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 8/11
  Prevalence: 16
  Population Size: 56
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 9/11
  Prevalence: 17
  Population Size: 57
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 10/11
  Prevalence: 21
  Population Size: 60
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 2/3
  Timestep: 11/11
  Prevalence: 21
  Population Size: 64
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 6/11
  Prevalence: 21
  Population Size: 47
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 7/11
  Prevalence: 21
  Population Size: 46
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 8/11
  Prevalence: 21
  Population Size: 44
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 9/11
  Prevalence: 22
  Population Size: 44
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 10/11
  Prevalence: 24
  Population Size: 43
  ----------------------------
  Epidemic Simulation
  ----------------------------
  Simulation: 3/3
  Timestep: 11/11
  Prevalence: 27
  Population Size: 44
  ----------------------------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  0.116      NA         0.157
  nodefactor.deg.4.1     NA   14.273       NA  0.596      NA         1.703
                     SD(Statistic)
  triangle                   0.384
  nodefactor.deg.4.1         4.739
  
  
  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  0.116      NA         0.157
  nodefactor.deg.4.1     NA   14.273       NA  0.596      NA         1.703
                     SD(Statistic)
  triangle                   0.384
  nodefactor.deg.4.1         4.739
  
  
  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   25.242    0.970  0.701   0.346         1.533
  nodematch.race     10   10.212    2.121  0.249   0.853         1.514
                 SD(Statistic)
  edges                  5.202
  nodematch.race         3.160
  
  
  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    5.588       NA  1.031      NA         0.448
  nodefactor.deg.2.2     NA    7.485       NA  0.673      NA         1.241
                     SD(Statistic)
  mean.age                   2.245
  nodefactor.deg.2.2         3.429
  
  
  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   19.424       NA  0.353      NA         1.560         3.700
  degree1     NA   19.182       NA  0.356      NA         1.376         3.770
  degree2     NA    8.818       NA  0.476      NA         0.636         2.732
  degree3     NA    2.697       NA  0.233      NA         0.262         1.704
  
  
  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   18.485  -26.061  2.535  -2.570         6.417
  nodematch.race         10    8.727  -12.727  0.806  -1.578         2.993
  nodefactor.deg.5.1     NA   19.000       NA  0.722      NA         3.364
                     SD(Statistic)
  edges                      6.847
  nodematch.race             3.511
  nodefactor.deg.5.1         3.666
  
  
  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] 1.047619 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.071429
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.000000 1.000000 1.000000 1.000000 1.038462 1.033333 1.000000 1.000000
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.888889 2.846154 3.241379 4.103448 1.896552 2.720000 3.370370 4.107143
  [1] 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824 1073741824
  [8] 1073741824
  [1] 1.909091 2.794118 3.586207 4.096774 1.933333 2.588235 2.947368 3.937500
  
  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 2 | 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 = 3.33333333333333, sim3 = 1.66666666666667), 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 2 | SKIP 113 | PASS 2147 ]
  Error:
  ! Test failures.
  Execution halted