Last updated on 2023-12-06 04:56:03 CET.

Flavor | Version | T_{install} | T_{check} | T_{total} | Status | Flags |
---|---|---|---|---|---|---|

r-devel-linux-x86_64-debian-clang | 1.2.5 | 578.86 | 275.78 | 854.64 | NOTE | |

r-devel-linux-x86_64-debian-gcc | 1.2.5 | 460.71 | 238.37 | 699.08 | NOTE | |

r-devel-linux-x86_64-fedora-clang | 1.2.5 | 1020.60 | NOTE | |||

r-devel-linux-x86_64-fedora-gcc | 1.2.5 | 1272.89 | NOTE | |||

r-devel-windows-x86_64 | 1.2.5 | 428.00 | 250.00 | 678.00 | NOTE | |

r-patched-linux-x86_64 | 1.2.5 | 0.01 | 2.38 | 2.39 | ERROR | |

r-release-linux-x86_64 | 1.2.5 | 395.88 | 311.41 | 707.29 | NOTE | |

r-release-macos-arm64 | 1.2.5 | 228.00 | NOTE | |||

r-release-macos-x86_64 | 1.2.5 | 380.00 | NOTE | |||

r-release-windows-x86_64 | 1.2.5 | 543.00 | 317.00 | 860.00 | ERROR | |

r-oldrel-macos-arm64 | 1.2.5 | 241.00 | NOTE | |||

r-oldrel-macos-x86_64 | 1.2.5 | 279.00 | NOTE | |||

r-oldrel-windows-x86_64 | 1.2.5 | 505.00 | 297.00 | 802.00 | ERROR |

Version: 1.2.5

Check: Rd files

Result: NOTE
checkRd: (-1) rmdcev.Rd:11: Lost braces
11 | Lloyd-Smith, P. (2020). Kuhn-Tucker and Multiple Discrete-Continuous Extreme Value (MDCEV) Model Estimation and Simulation in R: The rmdcev Package. R Journal. 12(2): 251-265. \doi{doi.org/10.32614/RJ-2021-015}{(link)}
| ^
checkRd: (-1) rmdcev.Rd:12: Lost braces
12 | Bhat, CR (2008). The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions. Transportation Research Part B: Methodological, 42(3): 274-303.\doi{10.1016/j.trb.2007.06.002}{(link)}
| ^
checkRd: (-1) rmdcev.Rd:13: Lost braces
13 | Lloyd-Smith, P (2018). A new approach to calculating welfare measures in Kuhn-Tucker demand models. Journal of Choice Modeling 26:19–27. \doi{10.1016/j.jocm.2017.12.002}{(link)}
| ^
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 1.2.5

Check: for GNU extensions in Makefiles

Result: NOTE
GNU make is a SystemRequirements.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Version: 1.2.5

Check: installed package size

Result: NOTE
installed size is 5.9Mb
sub-directories of 1Mb or more:
libs 5.0Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 1.2.5

Check: dependencies in R code

Result: NOTE
Namespace in Imports field not imported from: ‘RcppParallel’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 1.2.5

Check: whether package can be installed

Result: ERROR
Installation failed.
Flavor: r-patched-linux-x86_64

Version: 1.2.5

Check: tests

Result: ERROR
Running 'testthat.R' [106s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> Sys.setenv("R_TESTS" = "")
>
> library(testthat)
> library(rmdcev)
Loading required package: Rcpp
This is rmdcev version 1.2.5
> test_check("rmdcev")
SAMPLING FOR MODEL 'mdcev' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.007375 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 73.75 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.101 seconds (Warm-up)
Chain 1: 0.036 seconds (Sampling)
Chain 1: 0.137 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.003219 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 32.19 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.034 seconds (Warm-up)
Chain 1: 0.036 seconds (Sampling)
Chain 1: 0.07 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev_rp' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.004965 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 49.65 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.848 seconds (Warm-up)
Chain 1: 0.127 seconds (Sampling)
Chain 1: 1.975 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev_rp' NOW (CHAIN 1).
Chain 1: Rejecting initial value:
Chain 1: Log probability evaluates to log(0), i.e. negative infinity.
Chain 1: Stan can't start sampling from this initial value.
Chain 1:
Chain 1: Gradient evaluation took 0.003373 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 33.73 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.295 seconds (Warm-up)
Chain 1: 0.1 seconds (Sampling)
Chain 1: 0.395 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev_rp' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.003464 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 34.64 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.757 seconds (Warm-up)
Chain 1: 0.039 seconds (Sampling)
Chain 1: 0.796 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.003332 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 33.32 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.045 seconds (Warm-up)
Chain 1: 0.021 seconds (Sampling)
Chain 1: 0.066 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev_rp' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.003966 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 39.66 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.031 seconds (Warm-up)
Chain 1: 0.035 seconds (Sampling)
Chain 1: 0.066 seconds (Total)
Chain 1:
[1] -2653.237036
[1] 5467.655028
[1] -2770.001936
[1] 253.1987599
[,1]
[1,] -375.0261844
[1] -5073.714415
[1] 39 0 2 0 0 45 0 279 0 0 0 0 0 0 0 0 0
[1] 0.6943688388
[1] 29.77485721
[,1]
[1,] -41.6783403
[,1]
[1,] -41.6783403
[ FAIL 1 | WARN 62 | SKIP 2 | PASS 84 ]
══ Skipped tests (2) ═══════════════════════════════════════════════════════════
• empty test (2): 'test-data.R:24:1', 'test-kt_ee.R:253:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-simulations.R:211:2'): Conditional error hybrid draw ─────────
abs(util - 29.58674801) < tol is not TRUE
`actual`: FALSE
`expected`: TRUE
[ FAIL 1 | WARN 62 | SKIP 2 | PASS 84 ]
Error: Test failures
Execution halted
Flavor: r-release-windows-x86_64

Version: 1.2.5

Check: tests

Result: ERROR
Running 'testthat.R' [105s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> Sys.setenv("R_TESTS" = "")
>
> library(testthat)
> library(rmdcev)
Loading required package: Rcpp
This is rmdcev version 1.2.5
> test_check("rmdcev")
SAMPLING FOR MODEL 'mdcev' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.004268 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 42.68 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.112 seconds (Warm-up)
Chain 1: 0.032 seconds (Sampling)
Chain 1: 0.144 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.003107 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 31.07 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.031 seconds (Warm-up)
Chain 1: 0.028 seconds (Sampling)
Chain 1: 0.059 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev_rp' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.004327 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 43.27 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 1.754 seconds (Warm-up)
Chain 1: 0.132 seconds (Sampling)
Chain 1: 1.886 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev_rp' NOW (CHAIN 1).
Chain 1: Rejecting initial value:
Chain 1: Log probability evaluates to log(0), i.e. negative infinity.
Chain 1: Stan can't start sampling from this initial value.
Chain 1:
Chain 1: Gradient evaluation took 0.00502 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 50.2 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.29 seconds (Warm-up)
Chain 1: 0.097 seconds (Sampling)
Chain 1: 0.387 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev_rp' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.003323 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 33.23 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.766 seconds (Warm-up)
Chain 1: 0.04 seconds (Sampling)
Chain 1: 0.806 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.00239 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 23.9 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.036 seconds (Warm-up)
Chain 1: 0.016 seconds (Sampling)
Chain 1: 0.052 seconds (Total)
Chain 1:
SAMPLING FOR MODEL 'mdcev_rp' NOW (CHAIN 1).
Chain 1:
Chain 1: Gradient evaluation took 0.003112 seconds
Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 31.12 seconds.
Chain 1: Adjust your expectations accordingly!
Chain 1:
Chain 1:
Chain 1: WARNING: No variance estimation is
Chain 1: performed for num_warmup < 20
Chain 1:
Chain 1: Iteration: 1 / 10 [ 10%] (Warmup)
Chain 1: Iteration: 2 / 10 [ 20%] (Warmup)
Chain 1: Iteration: 3 / 10 [ 30%] (Warmup)
Chain 1: Iteration: 4 / 10 [ 40%] (Warmup)
Chain 1: Iteration: 5 / 10 [ 50%] (Warmup)
Chain 1: Iteration: 6 / 10 [ 60%] (Sampling)
Chain 1: Iteration: 7 / 10 [ 70%] (Sampling)
Chain 1: Iteration: 8 / 10 [ 80%] (Sampling)
Chain 1: Iteration: 9 / 10 [ 90%] (Sampling)
Chain 1: Iteration: 10 / 10 [100%] (Sampling)
Chain 1:
Chain 1: Elapsed Time: 0.018 seconds (Warm-up)
Chain 1: 0.022 seconds (Sampling)
Chain 1: 0.04 seconds (Total)
Chain 1:
[1] -2653.237036
[1] 5467.655028
[1] -2770.001936
[1] 253.1987599
[,1]
[1,] -375.0261844
[1] -5073.714415
[1] 39 0 2 0 0 45 0 279 0 0 0 0 0 0 0 0 0
[1] 0.6943688388
[1] 29.77485721
[,1]
[1,] -41.6783403
[,1]
[1,] -41.6783403
[ FAIL 1 | WARN 62 | SKIP 2 | PASS 84 ]
══ Skipped tests (2) ═══════════════════════════════════════════════════════════
• empty test (2): 'test-data.R:24:1', 'test-kt_ee.R:253:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-simulations.R:211:2'): Conditional error hybrid draw ─────────
abs(util - 29.58674801) < tol is not TRUE
`actual`: FALSE
`expected`: TRUE
[ FAIL 1 | WARN 62 | SKIP 2 | PASS 84 ]
Error: Test failures
Execution halted
Flavor: r-oldrel-windows-x86_64