Running ‘testthat.R’ [29s/38s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(spsurv)
  Loading required package: survival
  Loading required package: loo
  This is loo version 2.8.0
  - Online documentation and vignettes at mc-stan.org/loo
  - As of v2.0.0 loo defaults to 1 core but we recommend using as many as possible. Use the 'cores' argument or set options(mc.cores = NUM_CORES) for an entire session. 
  
  Attaching package: 'loo'
  
  The following object is masked from 'package:testthat':
  
      compare
  
  Loading required package: coda
  Loading required package: MASS
  
  Attaching package: 'spsurv'
  
  The following object is masked from 'package:coda':
  
      traceplot
  
  The following objects are masked from 'package:stats':
  
      coef, confint, vcov
  
  The following object is masked from 'package:base':
  
      mode
  
  > 
  > test_check("spsurv")
  
  SAMPLING FOR MODEL 'spbp' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000115 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.15 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:   1 / 1000 [  0%]  (Warmup)
  Chain 1: Iteration: 100 / 1000 [ 10%]  (Warmup)
  Chain 1: Iteration: 200 / 1000 [ 20%]  (Warmup)
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  Chain 1: Iteration: 501 / 1000 [ 50%]  (Sampling)
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  Chain 1: Iteration: 900 / 1000 [ 90%]  (Sampling)
  Chain 1: Iteration: 1000 / 1000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 6.241 seconds (Warm-up)
  Chain 1:                4.863 seconds (Sampling)
  Chain 1:                11.104 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'spbp' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000122 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.22 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:   1 / 1000 [  0%]  (Warmup)
  Chain 1: Iteration: 100 / 1000 [ 10%]  (Warmup)
  Chain 1: Iteration: 200 / 1000 [ 20%]  (Warmup)
  Chain 1: Iteration: 300 / 1000 [ 30%]  (Warmup)
  Chain 1: Iteration: 400 / 1000 [ 40%]  (Warmup)
  Chain 1: Iteration: 500 / 1000 [ 50%]  (Warmup)
  Chain 1: Iteration: 501 / 1000 [ 50%]  (Sampling)
  Chain 1: Iteration: 600 / 1000 [ 60%]  (Sampling)
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  Chain 1: Iteration: 800 / 1000 [ 80%]  (Sampling)
  Chain 1: Iteration: 900 / 1000 [ 90%]  (Sampling)
  Chain 1: Iteration: 1000 / 1000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 5.903 seconds (Warm-up)
  Chain 1:                4.263 seconds (Sampling)
  Chain 1:                10.166 seconds (Total)
  Chain 1: 
  [ FAIL 1 | WARN 6 | SKIP 0 | PASS 0 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test.R:33:1'): (code run outside of `test_that()`) ──────────────────
  Error in `optimHess(theta, fn, gr, control = list(fnscale = -1))`: non-finite value supplied by optim
  Backtrace:
      ▆
   1. └─spsurv::bppo(Surv(time, status) ~ karno + factor(celltype), data = veteran) at test.R:33:1
   2.   └─spsurv:::spbp.default(...)
   3.     └─spsurv:::spbp.mle(standata = standata, ...)
   4.       ├─rstan::optimizing(...)
   5.       └─rstan::optimizing(...)
   6.         └─rstan (local) .local(object, ...)
   7.           └─stats::optimHess(theta, fn, gr, control = list(fnscale = -1))
  
  [ FAIL 1 | WARN 6 | SKIP 0 | PASS 0 ]
  Error: Test failures
  Execution halted