* using log directory 'd:/Rcompile/CRANpkg/local/4.6/tidysdm.Rcheck' * using R Under development (unstable) (2025-12-06 r89118 ucrt) * using platform: x86_64-w64-mingw32 * R was compiled by gcc.exe (GCC) 14.3.0 GNU Fortran (GCC) 14.3.0 * running under: Windows Server 2022 x64 (build 20348) * using session charset: UTF-8 * checking for file 'tidysdm/DESCRIPTION' ... OK * this is package 'tidysdm' version '1.0.3' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking whether package 'tidysdm' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... [5s] OK * checking whether the package can be loaded with stated dependencies ... [5s] OK * checking whether the package can be unloaded cleanly ... [5s] OK * checking whether the namespace can be loaded with stated dependencies ... [4s] OK * checking whether the namespace can be unloaded cleanly ... [5s] OK * checking loading without being on the library search path ... [5s] OK * checking whether startup messages can be suppressed ... [5s] OK * checking use of S3 registration ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... [15s] OK * checking Rd files ... [2s] OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... [6s] INFO Error loading dataset 'lacerta_ensemble': Error in xgb.get.handle(model) : 'xgb.Booster' object is corrupted or is from an incompatible XGBoost version. * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking R/sysdata.rda ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ... [42s] OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... [65s] ERROR Running 'spelling.R' [0s] Running 'testthat.R' [64s] 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(tidysdm) Loading required package: tidymodels ── Attaching packages ────────────────────────────────────── tidymodels 1.4.1 ── ✔ broom 1.0.11 ✔ recipes 1.3.1 ✔ dials 1.4.2 ✔ rsample 1.3.1 ✔ dplyr 1.1.4 ✔ tailor 0.1.0 ✔ ggplot2 4.0.1 ✔ tidyr 1.3.1 ✔ infer 1.0.9 ✔ tune 2.0.1 ✔ modeldata 1.5.1 ✔ workflows 1.3.0 ✔ parsnip 1.4.0 ✔ workflowsets 1.1.1 ✔ purrr 1.2.0 ✔ yardstick 1.3.2 ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ── ✖ purrr::discard() masks scales::discard() ✖ dplyr::filter() masks stats::filter() ✖ dplyr::lag() masks stats::lag() ✖ recipes::step() masks stats::step() Loading required package: spatialsample > > test_check("tidysdm") Attaching package: 'plotrix' The following object is masked from 'package:scales': rescale i Creating pre-processing data to finalize 1 unknown parameter: "mtry" Saving _problems/test_explain_tidysdm-121.R Saving _problems/test_overlap_niche-14.R Saving _problems/test_predict_raster-8.R i Creating pre-processing data to finalize 1 unknown parameter: "mtry" [ FAIL 3 | WARN 0 | SKIP 1 | PASS 314 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test_filter_collinear.R:2:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_explain_tidysdm.R:121:3'): explain_tidysdm works with response provided directly ── Error in `xgb.get.handle(model)`: 'xgb.Booster' object is corrupted or is from an incompatible XGBoost version. Backtrace: ▆ 1. ├─testthat::expect_true(all.equal(test_explainer, test_explainer_y)) at test_explain_tidysdm.R:121:3 2. │ └─testthat::quasi_label(enquo(object), label) 3. │ └─rlang::eval_bare(expr, quo_get_env(quo)) 4. ├─base::all.equal(test_explainer, test_explainer_y) 5. └─base::all.equal.default(test_explainer, test_explainer_y) 6. └─base::all.equal.list(target, current, ...) 7. ├─base::all.equal(...) 8. └─base::all.equal.default(...) 9. └─base::all.equal.list(target, current, ...) 10. ├─base::all.equal(...) 11. └─base::all.equal.list(...) 12. ├─base::all.equal(...) 13. └─base::all.equal.default(...) 14. └─base::all.equal.list(target, current, ...) 15. ├─base::all.equal(...) 16. └─base::all.equal.default(...) 17. └─base::all.equal.list(target, current, ...) 18. ├─base::all.equal(...) 19. └─base::all.equal.default(...) 20. └─base::all.equal.list(target, current, ...) 21. ├─base::all.equal(...) 22. └─base::all.equal.default(...) 23. └─base::all.equal.list(target, current, ...) 24. └─base::attr.all.equal(target, current, ...) 25. ├─base::length(target) 26. └─xgboost:::length.xgb.Booster(target) 27. └─xgboost::xgb.get.num.boosted.rounds(x) 28. └─xgboost:::xgb.get.handle(model) ── Error ('test_overlap_niche.R:14:3'): niche_overlap quantifies difference between rasters ── Error in `xgb.get.handle(object)`: 'xgb.Booster' object is corrupted or is from an incompatible XGBoost version. Backtrace: ▆ 1. ├─tidysdm::predict_raster(lacerta_ensemble, climate_present) at test_overlap_niche.R:14:3 2. ├─tidysdm:::predict_raster.default(lacerta_ensemble, climate_present) 3. │ ├─stats::predict(object, rast_sub_values, ...) 4. │ └─tidysdm:::predict.simple_ensemble(object, rast_sub_values, ...) 5. │ └─base::lapply(...) 6. │ ├─stats (local) FUN(X[[i]], ...) 7. │ └─workflows:::predict.workflow(X[[i]], ...) 8. │ ├─stats::predict(fit, new_data, type = type, opts = opts, ...) 9. │ └─parsnip::predict.model_fit(...) 10. │ ├─parsnip:::predict_classprob(...) 11. │ └─parsnip::predict_classprob.model_fit(...) 12. │ └─rlang::eval_tidy(pred_call) 13. └─parsnip::xgb_predict(object = object$fit, new_data = new_data) 14. ├─stats::predict(object, new_data, ...) 15. └─xgboost:::predict.xgb.Booster(object, new_data, ...) 16. └─xgboost:::xgb.best_iteration(object) 17. └─xgboost::xgb.attr(bst, "best_iteration") 18. └─xgboost:::xgb.get.handle(object) ── Error ('test_predict_raster.R:8:3'): predict_raster works correctly in chunks ── Error in `xgb.get.handle(object)`: 'xgb.Booster' object is corrupted or is from an incompatible XGBoost version. Backtrace: ▆ 1. ├─tidysdm::predict_raster(lacerta_ensemble, climate_future) at test_predict_raster.R:8:3 2. ├─tidysdm:::predict_raster.default(lacerta_ensemble, climate_future) 3. │ ├─stats::predict(object, rast_sub_values, ...) 4. │ └─tidysdm:::predict.simple_ensemble(object, rast_sub_values, ...) 5. │ └─base::lapply(...) 6. │ ├─stats (local) FUN(X[[i]], ...) 7. │ └─workflows:::predict.workflow(X[[i]], ...) 8. │ ├─stats::predict(fit, new_data, type = type, opts = opts, ...) 9. │ └─parsnip::predict.model_fit(...) 10. │ ├─parsnip:::predict_classprob(...) 11. │ └─parsnip::predict_classprob.model_fit(...) 12. │ └─rlang::eval_tidy(pred_call) 13. └─parsnip::xgb_predict(object = object$fit, new_data = new_data) 14. ├─stats::predict(object, new_data, ...) 15. └─xgboost:::predict.xgb.Booster(object, new_data, ...) 16. └─xgboost:::xgb.best_iteration(object) 17. └─xgboost::xgb.attr(bst, "best_iteration") 18. └─xgboost:::xgb.get.handle(object) [ FAIL 3 | WARN 0 | SKIP 1 | PASS 314 ] Error: ! Test failures. Execution halted * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... [205s] ERROR Error(s) in re-building vignettes: --- re-building 'a0_tidysdm_overview.Rmd' using rmarkdown --- finished re-building 'a0_tidysdm_overview.Rmd' --- re-building 'a1_palaeodata_application.Rmd' using rmarkdown --- finished re-building 'a1_palaeodata_application.Rmd' --- re-building 'a2_tidymodels_additions.Rmd' using rmarkdown Quitting from a2_tidymodels_additions.Rmd:65-69 [vip] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error in `xgb.get.handle()`: ! 'xgb.Booster' object is corrupted or is from an incompatible XGBoost version. --- Backtrace: ▆ 1. ├─DALEX::model_parts(explainer = explainer_lacerta_ens) 2. │ ├─ingredients::feature_importance(...) 3. │ └─ingredients:::feature_importance.explainer(...) 4. │ └─ingredients:::feature_importance.default(...) 5. │ └─base::replicate(B, loss_after_permutation()) 6. │ └─base::sapply(...) 7. │ └─base::lapply(X = X, FUN = FUN, ...) 8. │ └─ingredients (local) FUN(X[[i]], ...) 9. │ └─ingredients (local) loss_after_permutation() 10. │ ├─DALEX (local) loss_function(observed, predict_function(x, sampled_data)) 11. │ │ └─base::tapply(observed, predicted, sum) 12. │ └─tidysdm (local) predict_function(x, sampled_data) 13. │ ├─stats::predict(model, newdata) 14. │ └─tidysdm:::predict.simple_ensemble(model, newdata) 15. │ └─base::lapply(...) 16. │ ├─stats (local) FUN(X[[i]], ...) 17. │ └─workflows:::predict.workflow(X[[i]], ...) 18. │ ├─stats::predict(fit, new_data, type = type, opts = opts, ...) 19. │ └─parsnip::predict.model_fit(...) 20. │ ├─parsnip:::predict_classprob(...) 21. │ └─parsnip::predict_classprob.model_fit(...) 22. │ └─rlang::eval_tidy(pred_call) 23. └─parsnip::xgb_predict(object = object$fit, new_data = new_data) 24. ├─stats::predict(object, new_data, ...) 25. └─xgboost:::predict.xgb.Booster(object, new_data, ...) 26. └─xgboost:::xgb.best_iteration(object) 27. └─xgboost::xgb.attr(bst, "best_iteration") 28. └─xgboost:::xgb.get.handle(object) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'a2_tidymodels_additions.Rmd' failed with diagnostics: 'xgb.Booster' object is corrupted or is from an incompatible XGBoost version. --- failed re-building 'a2_tidymodels_additions.Rmd' --- re-building 'a3_troubleshooting.Rmd' using rmarkdown --- finished re-building 'a3_troubleshooting.Rmd' SUMMARY: processing the following file failed: 'a2_tidymodels_additions.Rmd' Error: Vignette re-building failed. Execution halted * checking PDF version of manual ... [22s] OK * checking HTML version of manual ... [18s] OK * DONE Status: 2 ERRORs