Last updated on 2026-09-03 07:51:51 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.0.1 | 221.92 | 172.34 | 394.26 | NOTE | |
| r-devel-linux-x86_64-debian-gcc | 0.0.1 | 221.03 | 143.46 | 364.49 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 0.0.1 | 136.00 | 112.60 | 248.60 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.0.1 | 231.00 | 119.31 | 350.31 | NOTE | |
| r-devel-windows-x86_64 | 0.0.1 | 278.00 | 264.00 | 542.00 | OK | |
| r-patched-linux-x86_64 | 0.0.1 | 260.00 | 183.26 | 443.26 | OK | |
| r-release-linux-x86_64 | 0.0.1 | 261.04 | 185.88 | 446.92 | OK | |
| r-release-macos-arm64 | 0.0.1 | 49.00 | 17.00 | 66.00 | OK | |
| r-release-macos-x86_64 | 0.0.1 | 157.00 | 159.00 | 316.00 | OK | |
| r-release-windows-x86_64 | 0.0.1 | 264.00 | 203.00 | 467.00 | OK | |
| r-oldrel-macos-arm64 | 0.0.1 | OK | ||||
| r-oldrel-macos-x86_64 | 0.0.1 | 147.00 | 146.00 | 293.00 | OK | |
| r-oldrel-windows-x86_64 | 0.0.1 | 362.00 | 262.00 | 624.00 | OK |
Version: 0.0.1
Check: CRAN incoming feasibility
Result: NOTE
Maintainer: ‘Fabio Demarqui <fndemarqui@est.ufmg.br>’
The Description field contains
et al. (2019) <arXiv:1910.04475>. Model fitting can be carried out via
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 0.0.1
Check: dependencies in R code
Result: NOTE
Namespace in Imports field not imported from: ‘rstantools’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 0.0.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [12s/12s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(YPBP)
Loading required package: survival
Attaching package: 'YPBP'
The following object is masked from 'package:stats':
confint
>
> test_check("YPBP")
SAMPLING FOR MODEL 'ypbp' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.00014 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.4 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 500 [ 0%] (Warmup)
Chain 1: Iteration: 50 / 500 [ 10%] (Warmup)
Chain 1: Iteration: 100 / 500 [ 20%] (Warmup)
Chain 1: Iteration: 150 / 500 [ 30%] (Warmup)
Chain 1: Iteration: 200 / 500 [ 40%] (Warmup)
Chain 1: Iteration: 250 / 500 [ 50%] (Warmup)
Chain 1: Iteration: 251 / 500 [ 50%] (Sampling)
Chain 1: Iteration: 300 / 500 [ 60%] (Sampling)
Chain 1: Iteration: 350 / 500 [ 70%] (Sampling)
Chain 1: Iteration: 400 / 500 [ 80%] (Sampling)
Chain 1: Iteration: 450 / 500 [ 90%] (Sampling)
Chain 1: Iteration: 500 / 500 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.647 seconds (Warm-up)
Chain 1: 0.522 seconds (Sampling)
Chain 1: 1.169 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'ypbp' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 6.9e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.69 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 500 [ 0%] (Warmup)
Chain 2: Iteration: 50 / 500 [ 10%] (Warmup)
Chain 2: Iteration: 100 / 500 [ 20%] (Warmup)
Chain 2: Iteration: 150 / 500 [ 30%] (Warmup)
Chain 2: Iteration: 200 / 500 [ 40%] (Warmup)
Chain 2: Iteration: 250 / 500 [ 50%] (Warmup)
Chain 2: Iteration: 251 / 500 [ 50%] (Sampling)
Chain 2: Iteration: 300 / 500 [ 60%] (Sampling)
Chain 2: Iteration: 350 / 500 [ 70%] (Sampling)
Chain 2: Iteration: 400 / 500 [ 80%] (Sampling)
Chain 2: Iteration: 450 / 500 [ 90%] (Sampling)
Chain 2: Iteration: 500 / 500 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.685 seconds (Warm-up)
Chain 2: 0.492 seconds (Sampling)
Chain 2: 1.177 seconds (Total)
Chain 2:
SAMPLING FOR MODEL 'ypbp' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 5.7e-05 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.57 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: Iteration: 1 / 500 [ 0%] (Warmup)
Chain 1: Iteration: 50 / 500 [ 10%] (Warmup)
Chain 1: Iteration: 100 / 500 [ 20%] (Warmup)
Chain 1: Iteration: 150 / 500 [ 30%] (Warmup)
Chain 1: Iteration: 200 / 500 [ 40%] (Warmup)
Chain 1: Iteration: 250 / 500 [ 50%] (Warmup)
Chain 1: Iteration: 251 / 500 [ 50%] (Sampling)
Chain 1: Iteration: 300 / 500 [ 60%] (Sampling)
Chain 1: Iteration: 350 / 500 [ 70%] (Sampling)
Chain 1: Iteration: 400 / 500 [ 80%] (Sampling)
Chain 1: Iteration: 450 / 500 [ 90%] (Sampling)
Chain 1: Iteration: 500 / 500 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.463 seconds (Warm-up)
Chain 1: 0.277 seconds (Sampling)
Chain 1: 0.74 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'ypbp' NOW (CHAIN 2).
Chain 2:
Chain 2: Gradient evaluation took 4.7e-05 seconds
Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.
Chain 2: Adjust your expectations accordingly!
Chain 2:
Chain 2:
Chain 2: Iteration: 1 / 500 [ 0%] (Warmup)
Chain 2: Iteration: 50 / 500 [ 10%] (Warmup)
Chain 2: Iteration: 100 / 500 [ 20%] (Warmup)
Chain 2: Iteration: 150 / 500 [ 30%] (Warmup)
Chain 2: Iteration: 200 / 500 [ 40%] (Warmup)
Chain 2: Iteration: 250 / 500 [ 50%] (Warmup)
Chain 2: Iteration: 251 / 500 [ 50%] (Sampling)
Chain 2: Iteration: 300 / 500 [ 60%] (Sampling)
Chain 2: Iteration: 350 / 500 [ 70%] (Sampling)
Chain 2: Iteration: 400 / 500 [ 80%] (Sampling)
Chain 2: Iteration: 450 / 500 [ 90%] (Sampling)
Chain 2: Iteration: 500 / 500 [100%] (Sampling)
Chain 2:
Chain 2: Elapsed Time: 0.37 seconds (Warm-up)
Chain 2: 0.229 seconds (Sampling)
Chain 2: 0.599 seconds (Total)
Chain 2:
Saving _problems/test_mle-8.R
[ FAIL 1 | WARN 4 | SKIP 1 | PASS 0 ]
══ Skipped tests (1) ═══════════════════════════════════════════════════════════
• empty test (1):
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_mle.R:8:1'): (code run outside of `test_that()`) ───────────────
Error in `optimHess(theta, fn, gr, control = list(fnscale = -1))`: non-finite value supplied by optim
Backtrace:
▆
1. └─YPBP::ypbp(Surv(time, status) ~ trt, data = gastric, baseline = "odds") at test_mle.R:8:1
2. └─YPBP:::ypbp.mle(...)
3. ├─rstan::optimizing(...)
4. └─rstan::optimizing(...)
5. └─rstan (local) .local(object, ...)
6. └─stats::optimHess(theta, fn, gr, control = list(fnscale = -1))
[ FAIL 1 | WARN 4 | SKIP 1 | PASS 0 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang