R version 4.6.0 beta (2026-04-15 r89885 ucrt) -- "Because it was There"
Copyright (C) 2026 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(testthat)
> library(swjm)
> 
> test_check("swjm")
Call: 
reReg::simGSC(n = n, summary = TRUE, para = para, xmat = X, censoring = C, 
    frailty = gamma, tau = 60)

Summary:
Sample size:                                    40 
Number of recurrent event observed:             77 
Average number of recurrent event per subject:  1.925 
Proportion of subjects with a terminal event:   0.125 


Call: 
reReg::simGSC(n = n, summary = TRUE, para = para, xmat = X, censoring = C, 
    frailty = gamma, tau = 60)

Summary:
Sample size:                                    20 
Number of recurrent event observed:             36 
Average number of recurrent event per subject:  1.8 
Proportion of subjects with a terminal event:   0.15 


Call: 
reReg::simGSC(n = n, summary = TRUE, para = para, xmat = X, censoring = C, 
    frailty = gamma, tau = 60)

Summary:
Sample size:                                    30 
Number of recurrent event observed:             65 
Average number of recurrent event per subject:  2.167 
Proportion of subjects with a terminal event:   0.233 


Call: 
reReg::simGSC(n = n, summary = TRUE, para = para, xmat = X, censoring = C, 
    frailty = gamma, tau = 60)

Summary:
Sample size:                                    30 
Number of recurrent event observed:             65 
Average number of recurrent event per subject:  2.167 
Proportion of subjects with a terminal event:   0.233 


[ FAIL 0 | WARN 0 | SKIP 0 | PASS 89 ]
> 
> proc.time()
   user  system elapsed 
   4.70    0.68    5.42