CRAN Package Check Results for Maintainer ‘Marvin N. Wright <cran at wrig.de>’

Last updated on 2025-12-28 01:49:06 CET.

Package	ERROR	NOTE	OK
arf	1		12
blockForest		4	9
cpi	1		12
ranger		2	11

Package arf

Current CRAN status: ERROR: 1, OK: 12

Version: 0.2.4
Check: examples
Result: ERROR Running examples in 'arf-Ex.R' failed The error most likely occurred in: > ### Name: adversarial_rf > ### Title: Adversarial Random Forests > ### Aliases: adversarial_rf > > ### ** Examples > > # Train ARF and estimate leaf parameters > arf <- adversarial_rf(iris) Iteration: 0, Accuracy: 76.35% Error in `[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf)) : attempt access index 2/2 in VECTOR_ELT Calls: adversarial_rf -> unique -> [ -> [.data.table Execution halted Flavor: r-devel-windows-x86_64

Version: 0.2.4
Check: tests
Result: ERROR Running 'testthat.R' [4s] Running the tests in 'tests/testthat.R' failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(arf) > > test_check("arf") Iteration: 0, Accuracy: 78.6% Saving _problems/test-arguments-2.R Iteration: 0, Accuracy: 84.18% Saving _problems/test-conditions-2.R Saving _problems/test-impute-19.R Iteration: 0, Accuracy: 79.87% Saving _problems/test-input_data-6.R Iteration: 0, Accuracy: 77.21% Saving _problems/test-input_data-41.R Saving _problems/test-return_types-2.R Saving _problems/test-return_types-7.R Saving _problems/test-return_types-19.R Saving _problems/test-return_types-26.R Saving _problems/test-return_types-37.R Saving _problems/test-return_types-44.R Saving _problems/test-return_types-56.R Saving _problems/test-return_types-76.R Saving _problems/test-return_types-101.R Saving _problems/test-return_types-112.R Saving _problems/test-return_types-119.R Iteration: 0, Accuracy: 80.94% Saving _problems/test_expct-2.R [ FAIL 17 | WARN 0 | SKIP 0 | PASS 2 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-arguments.R:2:3'): FORDE works with alpha>0 ──────────────────── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(iris, parallel = FALSE) at test-arguments.R:2:3 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-conditions.R:2:1'): (code run outside of `test_that()`) ──────── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(iris, parallel = FALSE) at test-conditions.R:2:1 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-impute.R:19:3'): Imputation fills missing values ─────────────── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::impute(iris_na, m = 1, parallel = FALSE) at test-impute.R:19:3 2. ├─base::do.call(...) 3. └─arf (local) `<fn>`(...) 4. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 5. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 6. └─data.table:::`[.data.table`(...) ── Error ('test-input_data.R:6:3'): FORGE works if y is a column name ────────── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(dat, parallel = FALSE) at test-input_data.R:6:3 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-input_data.R:41:3'): Imputation works if integers recoded to factors ── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. ├─testthat::expect_warning(arf <- adversarial_rf(dat, parallel = FALSE)) at test-input_data.R:41:3 2. │ └─testthat:::expect_condition_matching_(...) 3. │ └─testthat:::quasi_capture(...) 4. │ ├─testthat (local) .capture(...) 5. │ │ └─base::withCallingHandlers(...) 6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo)) 7. └─arf::adversarial_rf(dat, parallel = FALSE) 8. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 9. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 10. └─data.table:::`[.data.table`(...) ── Error ('test-return_types.R:2:3'): ARF returns ranger object ──────────────── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(iris, num_trees = 2, verbose = FALSE, parallel = FALSE) at test-return_types.R:2:3 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-return_types.R:7:3'): FORDE returns correct list object ──────── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(iris, num_trees = 2, verbose = FALSE, parallel = FALSE) at test-return_types.R:7:3 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-return_types.R:19:3'): FORDE categories sum to unity ─────────── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(iris, num_trees = 2, verbose = FALSE, parallel = FALSE) at test-return_types.R:19:3 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-return_types.R:26:3'): Likelihood calculation returns vector of log-likelihoods ── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(iris, num_trees = 2, verbose = FALSE, parallel = FALSE) at test-return_types.R:26:3 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-return_types.R:37:3'): FORGE returns data frame when called with data frame ── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(iris, num_trees = 2, verbose = FALSE, parallel = FALSE) at test-return_types.R:37:3 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-return_types.R:44:3'): FORGE returns data table when called with data table ── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(...) at test-return_types.R:44:3 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-return_types.R:56:3'): FORGE returns matrix when called with matrix ── Error in ``[.data.table`(keep, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::forde(arf, x, parallel = FALSE) at test-return_types.R:56:3 2. ├─base::unique(keep[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─keep[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-return_types.R:76:3'): FORGE returns correct column types ────── Error in ``[.data.table`(keep, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::forde(arf, dat, parallel = FALSE) at test-return_types.R:76:3 2. ├─base::unique(keep[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─keep[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-return_types.R:101:3'): FORGE does not round to real data set precision if 'round == FALSE' ── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(iris, num_trees = 2, verbose = FALSE, parallel = FALSE) at test-return_types.R:101:3 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-return_types.R:112:3'): FORGE returns factors with same levels (and order of levels) ── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(iris, num_trees = 2, verbose = FALSE, parallel = FALSE) at test-return_types.R:112:3 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test-return_types.R:119:3'): EXPCT returns factors with same levels (and order of levels) ── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(iris, num_trees = 2, verbose = FALSE, parallel = FALSE) at test-return_types.R:119:3 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ── Error ('test_expct.R:2:1'): (code run outside of `test_that()`) ───────────── Error in ``[.data.table`(tmp2, , `:=`(cnt, .N), by = .(tree, leaf))`: attempt access index 2/2 in VECTOR_ELT Backtrace: ▆ 1. └─arf::adversarial_rf(iris, parallel = FALSE) at test_expct.R:2:1 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) [ FAIL 17 | WARN 0 | SKIP 0 | PASS 2 ] Error: ! Test failures. Execution halted Flavor: r-devel-windows-x86_64

Version: 0.2.4
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: --- re-building 'arf.Rmd' using rmarkdown Quitting from arf.Rmd:23-34 [arf] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `[.data.table`: ! attempt access index 2/2 in VECTOR_ELT --- Backtrace: ▆ 1. └─arf::adversarial_rf(iris) 2. ├─base::unique(tmp2[, `:=`(cnt, .N), by = .(tree, leaf)]) 3. ├─tmp2[, `:=`(cnt, .N), by = .(tree, leaf)] 4. └─data.table:::`[.data.table`(...) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'arf.Rmd' failed with diagnostics: attempt access index 2/2 in VECTOR_ELT --- failed re-building 'arf.Rmd' SUMMARY: processing the following file failed: 'arf.Rmd' Error: Vignette re-building failed. Execution halted Flavor: r-devel-windows-x86_64

Package blockForest

Current CRAN status: NOTE: 4, OK: 9

Version: 0.2.6
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Marvin N. Wright <cran@wrig.de>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: c(person(given = "Roman", family = "Hornung", role = "aut"), person(given = c("Marvin", "N."), family = "Wright", role = c("aut", "cre"), email = "cran@wrig.de")) as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 0.2.6
Check: installed package size
Result: NOTE installed size is 7.0Mb sub-directories of 1Mb or more: libs 6.6Mb Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Package cpi

Current CRAN status: ERROR: 1, OK: 12

Version: 0.1.5
Check: examples
Result: ERROR Running examples in 'cpi-Ex.R' failed The error most likely occurred in: > ### Name: cpi > ### Title: Conditional Predictive Impact (CPI). > ### Aliases: cpi > > ### ** Examples > > library(mlr3) > library(mlr3learners) > > # Regression with linear model and holdout validation > cpi(task = tsk("mtcars"), learner = lrn("regr.lm"), + resampling = rsmp("holdout")) Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") : attempt access index 9/9 in VECTOR_ELT Calls: cpi ... initialize -> .__ResultData__initialize -> [ -> [.data.table Execution halted Flavor: r-devel-windows-x86_64

Version: 0.1.5
Check: tests
Result: ERROR Running 'testthat.R' [4s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(cpi) > > test_check("cpi") Saving _problems/test-check_args-7.R Saving _problems/test-check_args-21.R Saving _problems/test-check_args-36.R [ FAIL 3 | WARN 0 | SKIP 0 | PASS 1 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-check_args.R:6:3'): returns object of correct dimensions, regression ── Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT Backtrace: ▆ 1. └─cpi::cpi(task = task, learner = lrn("regr.lm"), resampling = rsmp("holdout")) at test-check_args.R:6:3 2. └─cpi:::fit_learner(...) 3. └─mlr3::resample(task, learner, resampling, store_models = TRUE) 4. └─ResultData$new(data, data_extra, store_backends = store_backends) 5. └─mlr3 (local) initialize(...) 6. └─mlr3:::.__ResultData__initialize(...) 7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"] 8. └─data.table:::`[.data.table`(...) ── Error ('test-check_args.R:19:3'): returns object of correct dimensions, classification ── Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT Backtrace: ▆ 1. └─cpi::cpi(...) at test-check_args.R:19:3 2. └─cpi:::fit_learner(...) 3. └─mlr3::resample(task, learner, resampling, store_models = TRUE) 4. └─ResultData$new(data, data_extra, store_backends = store_backends) 5. └─mlr3 (local) initialize(...) 6. └─mlr3:::.__ResultData__initialize(...) 7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"] 8. └─data.table:::`[.data.table`(...) ── Error ('test-check_args.R:33:3'): returns object of correct dimensions, group classification ── Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT Backtrace: ▆ 1. └─cpi::cpi(...) at test-check_args.R:33:3 2. └─cpi:::fit_learner(...) 3. └─mlr3::resample(task, learner, resampling, store_models = TRUE) 4. └─ResultData$new(data, data_extra, store_backends = store_backends) 5. └─mlr3 (local) initialize(...) 6. └─mlr3:::.__ResultData__initialize(...) 7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"] 8. └─data.table:::`[.data.table`(...) [ FAIL 3 | WARN 0 | SKIP 0 | PASS 1 ] Error: ! Test failures. Execution halted Flavor: r-devel-windows-x86_64

Version: 0.1.5
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: --- re-building 'intro.Rmd' using rmarkdown Quitting from intro.Rmd:25-33 [first_example] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `[.data.table`: ! attempt access index 9/9 in VECTOR_ELT --- Backtrace: ▆ 1. └─cpi::cpi(...) 2. └─cpi:::fit_learner(...) 3. └─mlr3::resample(task, learner, resampling, store_models = TRUE) 4. └─ResultData$new(data, data_extra, store_backends = store_backends) 5. └─mlr3 (local) initialize(...) 6. └─mlr3:::.__ResultData__initialize(...) 7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"] 8. └─data.table:::`[.data.table`(...) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'intro.Rmd' failed with diagnostics: attempt access index 9/9 in VECTOR_ELT --- failed re-building 'intro.Rmd' SUMMARY: processing the following file failed: 'intro.Rmd' Error: Vignette re-building failed. Execution halted Flavor: r-devel-windows-x86_64

Package ranger

Current CRAN status: NOTE: 2, OK: 11

Version: 0.17.0
Check: installed package size
Result: NOTE installed size is 8.0Mb sub-directories of 1Mb or more: libs 7.7Mb Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64