CRAN Package Check Results for Package rmdcev

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

Flavor	Version	T_install	T_check	T_total	Status
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

Check Details

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