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CRAN Package Check Results for Package MachineShop

Last updated on 2026-06-09 23:53:24 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.9.2 49.49 336.89 386.38 ERROR
r-devel-linux-x86_64-debian-gcc 3.9.2 34.33 234.33 268.66 ERROR
r-devel-linux-x86_64-fedora-clang 3.9.2 89.00 540.10 629.10 OK
r-devel-linux-x86_64-fedora-gcc 3.9.2 88.00 570.58 658.58 OK
r-devel-windows-x86_64 3.9.2 50.00 314.00 364.00 ERROR
r-patched-linux-x86_64 3.9.2 48.18 324.57 372.75 OK
r-release-linux-x86_64 3.9.2 50.26 325.12 375.38 OK
r-release-macos-arm64 3.9.2 12.00 76.00 88.00 OK
r-release-macos-x86_64 3.9.2 35.00 320.00 355.00 OK
r-release-windows-x86_64 3.9.2 58.00 335.00 393.00 OK
r-oldrel-macos-arm64 3.9.2 13.00 87.00 100.00 OK
r-oldrel-macos-x86_64 3.9.2 36.00 423.00 459.00 OK
r-oldrel-windows-x86_64 3.9.2 79.00 447.00 526.00 OK

Check Details

Version: 3.9.2
Check: examples
Result: ERROR Running examples in ‘MachineShop-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: TunedInput > ### Title: Tuned Model Inputs > ### Aliases: TunedInput TunedModelRecipe TunedInput.recipe > > ### ** Examples > > library(recipes) Loading required package: dplyr Attaching package: ‘dplyr’ The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union Attaching package: ‘recipes’ The following object is masked from ‘package:stats’: step > data(Boston, package = "MASS") > > rec <- recipe(medv ~ ., data = Boston) %>% + step_pca(all_numeric_predictors(), id = "pca") > > grid <- expand_steps( + pca = list(num_comp = 1:2) + ) > > fit(TunedInput(rec, grid = grid), model = GLMModel) Error in .fit_optim(object, ...) : Resampling failed for all models. ModelRecipe.1: $ operator not defined for this S4 class ModelRecipe.2: $ operator not defined for this S4 class Calls: fit ... tryCatchOne -> <Anonymous> -> throw -> .throw -> .throw.error Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed CForestModel 5.743 0.112 7.681 SelectedInput 5.352 0.089 7.907 Flavor: r-devel-linux-x86_64-debian-clang

Version: 3.9.2
Check: examples
Result: ERROR Running examples in ‘MachineShop-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: TunedInput > ### Title: Tuned Model Inputs > ### Aliases: TunedInput TunedModelRecipe TunedInput.recipe > > ### ** Examples > > library(recipes) Loading required package: dplyr Attaching package: ‘dplyr’ The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union Attaching package: ‘recipes’ The following object is masked from ‘package:stats’: step > data(Boston, package = "MASS") > > rec <- recipe(medv ~ ., data = Boston) %>% + step_pca(all_numeric_predictors(), id = "pca") > > grid <- expand_steps( + pca = list(num_comp = 1:2) + ) > > fit(TunedInput(rec, grid = grid), model = GLMModel) Error in .fit_optim(object, ...) : Resampling failed for all models. ModelRecipe.1: $ operator not defined for this S4 class ModelRecipe.2: $ operator not defined for this S4 class Calls: fit ... tryCatchOne -> <Anonymous> -> throw -> .throw -> .throw.error Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed CForestModel 4.199 0.225 6.284 Flavor: r-devel-linux-x86_64-debian-gcc

Version: 3.9.2
Check: examples
Result: ERROR Running examples in 'MachineShop-Ex.R' failed The error most likely occurred in: > ### Name: TunedInput > ### Title: Tuned Model Inputs > ### Aliases: TunedInput TunedModelRecipe TunedInput.recipe > > ### ** Examples > > library(recipes) Loading required package: dplyr Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union Attaching package: 'recipes' The following object is masked from 'package:stats': step > data(Boston, package = "MASS") > > rec <- recipe(medv ~ ., data = Boston) %>% + step_pca(all_numeric_predictors(), id = "pca") > > grid <- expand_steps( + pca = list(num_comp = 1:2) + ) > > fit(TunedInput(rec, grid = grid), model = GLMModel) Error in .fit_optim(object, ...) : Resampling failed for all models. ModelRecipe.1: $ operator not defined for this S4 class ModelRecipe.2: $ operator not defined for this S4 class Calls: fit ... tryCatchOne -> <Anonymous> -> throw -> .throw -> .throw.error Execution halted Flavor: r-devel-windows-x86_64

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