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CRAN Package Check Results for Package parsnip

CRAN Package Check Results for Package parsnip

Last updated on 2026-04-07 02:49:55 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.4.1 18.65 262.34 280.99 OK
r-devel-linux-x86_64-debian-gcc 1.4.1 12.54 172.17 184.71 OK
r-devel-linux-x86_64-fedora-clang 1.4.1 34.00 391.56 425.56 OK
r-devel-linux-x86_64-fedora-gcc 1.4.1 38.00 451.80 489.80 ERROR
r-devel-macos-arm64 1.4.1 4.00 59.00 63.00 OK
r-devel-windows-x86_64 1.4.1 24.00 357.00 381.00 OK
r-patched-linux-x86_64 1.4.1 30.13 241.23 271.36 OK
r-release-linux-x86_64 1.4.1 18.57 224.33 242.90 OK
r-release-macos-arm64 1.4.1 5.00 63.00 68.00 OK
r-release-macos-x86_64 1.4.1 14.00 246.00 260.00 OK
r-release-windows-x86_64 1.4.1 22.00 309.00 331.00 OK
r-oldrel-macos-arm64 1.4.1 5.00 73.00 78.00 OK
r-oldrel-macos-x86_64 1.4.1 14.00 419.00 433.00 OK
r-oldrel-windows-x86_64 1.4.1 32.00 367.00 399.00 OK

Additional issues

M1mac

Check Details

Version: 1.4.1
Check: tests
Result: ERROR Running ‘testthat.R’ [2m/12m] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(parsnip) > > test_check("parsnip") Attaching package: 'modeldata' The following object is masked from 'package:datasets': penguins To use legacy Keras via py_require(), call py_require_legacy_keras() at the start of the R session. Hint: To use tensorflow with `py_require()`, call `py_require("tensorflow")` at the start of the R session Attaching package: 'sparklyr' The following object is masked from 'package:stats': filter Saving _problems/test-linear_reg_quantreg-27.R Saving _problems/test-linear_reg_quantreg-46.R Saving _problems/test-linear_reg_quantreg-82.R Saving _problems/test-linear_reg_quantreg-83.R Saving _problems/test-linear_reg_quantreg-113.R Saving _problems/test-linear_reg_quantreg-114.R [ FAIL 6 | WARN 0 | SKIP 182 | PASS 806 ] ══ Skipped tests (182) ═════════════════════════════════════════════════════════ • On CRAN (176): 'test-adds.R:7:1', 'test-args_and_modes.R:1:1', 'test-args_and_modes.R:31:1', 'test-args_and_modes.R:41:1', 'test-args_and_modes.R:49:1', 'test-args_and_modes.R:109:1', 'test-arguments.R:1:1', 'test-augment.R:1:1', 'test-augment.R:140:1', 'test-boost_tree.R:7:1', 'test-boost_tree.R:15:1', 'test-boost_tree.R:43:3', 'test-boost_tree.R:55:3', 'test-boost_tree_C5.0.R:14:1', 'test-boost_tree_C5.0.R:116:1', 'test-boost_tree_C5.0.R:162:1', 'test-boost_tree_xgboost.R:33:3', 'test-boost_tree_xgboost.R:112:3', 'test-boost_tree_xgboost.R:182:3', 'test-boost_tree_xgboost.R:208:3', 'test-boost_tree_xgboost.R:244:3', 'test-boost_tree_xgboost.R:279:3', 'test-boost_tree_xgboost.R:342:3', 'test-boost_tree_xgboost.R:368:3', 'test-boost_tree_xgboost.R:422:3', 'test-boost_tree_xgboost.R:485:3', 'test-boost_tree_xgboost.R:574:3', 'test-boost_tree_xgboost.R:646:3', 'test-boost_tree_xgboost.R:688:3', 'test-boost_tree_xgboost.R:790:3', 'test-boost_tree_xgboost.R:848:3', 'test-case-weights.R:105:1', 'test-condense_control.R:1:1', 'test-convert_data.R:280:1', 'test-convert_data.R:332:1', 'test-convert_data.R:363:1', 'test-convert_data.R:644:1', 'test-convert_data.R:661:1', 'test-decision_tree.R:7:1', 'test-decision_tree.R:15:1', 'test-decision_tree.R:32:1', 'test-descriptors.R:202:1', 'test-descriptors.R:225:3', 'test-engines.R:1:1', 'test-extract.R:3:1', 'test-extract.R:54:1', 'test-extract.R:67:1', 'test-extract.R:110:1', 'test-failed_models.R:25:1', 'test-failed_models.R:47:1', 'test-fit_interfaces.R:39:1', 'test-fit_interfaces.R:70:1', 'test-fit_interfaces.R:86:1', 'test-fit_interfaces.R:122:1', 'test-fit_interfaces.R:172:3', 'test-gen_additive_model.R:3:1', 'test-gen_additive_model.R:47:1', 'test-linear_reg.R:7:1', 'test-linear_reg.R:15:1', 'test-linear_reg.R:29:1', 'test-linear_reg.R:109:1', 'test-linear_reg.R:308:1', 'test-linear_reg.R:318:1', 'test-linear_reg.R:325:1', 'test-linear_reg.R:354:1', 'test-linear_reg.R:376:1', 'test-linear_reg.R:408:1', 'test-linear_reg_quantreg.R:59:1', 'test-logistic_reg.R:7:1', 'test-logistic_reg.R:15:1', 'test-logistic_reg.R:39:1', 'test-logistic_reg.R:174:1', 'test-logistic_reg.R:271:1', 'test-logistic_reg.R:312:1', 'test-mars.R:7:1', 'test-mars.R:24:1', 'test-mars.R:155:1', 'test-mars.R:251:1', 'test-misc.R:6:1', 'test-misc.R:60:1', 'test-misc.R:104:1', 'test-misc.R:132:1', 'test-misc.R:167:1', 'test-misc.R:171:1', 'test-misc.R:179:1', 'test-misc.R:251:1', 'test-misc.R:304:1', 'test-mlp.R:5:1', 'test-mlp.R:13:1', 'test-mlp.R:36:3', 'test-mlp.R:62:1', 'test-mlp.R:96:1', 'test-mlp_nnet.R:13:1', 'test-model_basics.R:1:1', 'test-multinom_reg.R:6:1', 'test-multinom_reg.R:14:1', 'test-multinom_reg.R:30:1', 'test-multinom_reg.R:55:1', 'test-nearest_neighbor.R:1:1', 'test-nearest_neighbor.R:9:1', 'test-nearest_neighbor.R:13:1', 'test-nearest_neighbor_kknn.R:17:1', 'test-nearest_neighbor_kknn.R:199:1', 'test-nullmodel.R:5:1', 'test-nullmodel.R:27:1', 'test-nullmodel.R:134:1', 'test-packages.R:5:1', 'test-packages.R:33:1', 'test-partykit.R:4:3', 'test-partykit.R:49:3', 'test-predict_formats.R:148:1', 'test-predict_formats.R:172:1', 'test-predict_formats.R:202:3', 'test-print.R:1:1', 'test-print.R:9:1', 'test-rand_forest.R:1:1', 'test-rand_forest.R:9:1', 'test-rand_forest_ranger.R:21:1', 'test-rand_forest_ranger.R:121:1', 'test-rand_forest_ranger.R:264:1', 'test-rand_forest_ranger.R:476:1', 'test-rand_forest_ranger.R:548:1', 'test-re_registration.R:30:1', 'test-re_registration.R:68:1', 'test-re_registration.R:105:1', 'test-registration.R:1:1', 'test-registration.R:65:1', 'test-registration.R:70:1', 'test-registration.R:81:1', 'test-registration.R:105:1', 'test-registration.R:143:1', 'test-registration.R:285:1', 'test-registration.R:416:1', 'test-registration.R:552:1', 'test-sparsevctrs.R:5:3', 'test-sparsevctrs.R:23:1', 'test-sparsevctrs.R:37:3', 'test-sparsevctrs.R:55:1', 'test-sparsevctrs.R:69:3', 'test-sparsevctrs.R:86:1', 'test-sparsevctrs.R:100:3', 'test-sparsevctrs.R:117:1', 'test-sparsevctrs.R:149:1', 'test-sparsevctrs.R:186:1', 'test-sparsevctrs.R:205:3', 'test-sparsevctrs.R:247:3', 'test-sparsevctrs.R:292:3', 'test-sparsevctrs.R:340:1', 'test-sparsevctrs.R:368:1', 'test-standalone-survival.R:1:1', 'test-svm_linear.R:7:1', 'test-svm_linear.R:15:1', 'test-svm_linear.R:160:1', 'test-svm_poly.R:6:1', 'test-svm_poly.R:14:1', 'test-svm_rbf.R:7:1', 'test-svm_rbf.R:15:1', 'test-svm_rbf.R:23:1', 'test-translate.R:24:1', 'test-translate.R:48:1', 'test-translate.R:75:1', 'test-translate.R:85:1', 'test-translate.R:118:1', 'test-translate.R:160:1', 'test-translate.R:174:1', 'test-translate.R:207:1', 'test-translate.R:224:1', 'test-translate.R:246:1', 'test-translate.R:259:1', 'test-translate.R:289:1', 'test-translate.R:299:1', 'test-translate.R:309:1', 'test-translate.R:321:1', 'test-translate.R:332:1', 'test-update.R:1:1', 'test-update.R:27:1' • empty test (1): • nrow(spark_installed_versions()) == 0 is TRUE (1): 'test-boost_tree.R:26:3' • waiting for keras3 (4): 'test-linear_reg_keras.R:1:1', 'test-logistic_reg_keras.R:1:1', 'test-mlp_keras.R:1:1', 'test-multinom_reg_keras.R:1:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-linear_reg_quantreg.R:27:3'): linear quantile regression via quantreg - single quantile ── Expected `class(one_quant_pred$.pred_quantile[[1]])` to be identical to "numeric". Differences: `actual`: "quantile_pred" "vctrs_rcrd" "vctrs_vctr" `expected`: "numeric" ── Failure ('test-linear_reg_quantreg.R:46:3'): linear quantile regression via quantreg - single quantile ── Expected `class(one_quant_one_row$.pred_quantile[[1]])` to be identical to "numeric". Differences: `actual`: "quantile_pred" "vctrs_rcrd" "vctrs_vctr" `expected`: "numeric" ── Failure ('test-linear_reg_quantreg.R:82:3'): linear quantile regression via quantreg - multiple quantiles ── Expected `class(ten_quant_pred$.pred_quantile[[1]])` to be identical to "numeric". Differences: `actual`: "quantile_pred" "vctrs_rcrd" "vctrs_vctr" `expected`: "numeric" ── Failure ('test-linear_reg_quantreg.R:83:3'): linear quantile regression via quantreg - multiple quantiles ── Expected `length(ten_quant_pred$.pred_quantile[[1]]) == 10L` to be TRUE. Differences: `actual`: FALSE `expected`: TRUE ── Failure ('test-linear_reg_quantreg.R:113:3'): linear quantile regression via quantreg - multiple quantiles ── Expected `class(ten_quant_one_row$.pred_quantile[[1]])` to be identical to "numeric". Differences: `actual`: "quantile_pred" "vctrs_rcrd" "vctrs_vctr" `expected`: "numeric" ── Failure ('test-linear_reg_quantreg.R:114:3'): linear quantile regression via quantreg - multiple quantiles ── Expected `length(ten_quant_one_row$.pred_quantile[[1]]) == 10L` to be TRUE. Differences: `actual`: FALSE `expected`: TRUE [ FAIL 6 | WARN 0 | SKIP 182 | PASS 806 ] Deleting unused snapshots: 'surv_reg.md', 'surv_reg_flexsurv.md', and 'surv_reg_survreg.md' Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

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