CRAN Package Check Results for Package xtdml

Last updated on 2025-12-19 17:50:05 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.9 11.43 64.70 76.13 OK
r-devel-linux-x86_64-debian-gcc 0.1.11 7.39 50.19 57.58 OK
r-devel-linux-x86_64-fedora-clang 0.1.11 18.00 96.52 114.52 OK
r-devel-linux-x86_64-fedora-gcc 0.1.11 17.00 89.46 106.46 ERROR
r-devel-windows-x86_64 0.1.11 12.00 74.00 86.00 OK
r-patched-linux-x86_64 0.1.11 10.94 57.39 68.33 OK
r-release-linux-x86_64 0.1.11 9.60 57.37 66.97 OK
r-release-macos-arm64 0.1.11 2.00 18.00 20.00 OK
r-release-macos-x86_64 0.1.11 7.00 74.00 81.00 OK
r-release-windows-x86_64 0.1.11 12.00 75.00 87.00 OK
r-oldrel-macos-arm64 0.1.11 2.00 21.00 23.00 OK
r-oldrel-macos-x86_64 0.1.11 7.00 76.00 83.00 OK
r-oldrel-windows-x86_64 0.1.11 15.00 91.00 106.00 OK

Check Details

Version: 0.1.11
Check: examples
Result: ERROR Running examples in ‘xtdml-Ex.R’ failed The error most likely occurred in: > ### Name: xtdml_plr > ### Title: DML Method for Partially Linear Panel Models > ### Aliases: xtdml_plr > > ### ** Examples > > # An illustrative example using a regression tree (`rpart`) > library(mlr3) > library(rpart) > library(mlr3tuning) Loading required package: paradox > set.seed(1234) > > # Generate simulated dataset > data = make_plpr_data(n_obs = 100, t_per = 5, dim_x = 10, theta = 0.5, rho=0.8) > > x_cols = paste0("X", 1:10) > > # Set up DML data environment > obj_xtdml_data = xtdml_data_from_data_frame(data, + x_cols = x_cols, y_col = "y", d_cols = "d", + panel_id = "id", + time_id = "time", + approach = "fd-exact") > > # Set up DML estimation environment > learner = lrn("regr.rpart") > ml_l = learner$clone() > ml_m = learner$clone() > > obj_xtdml = xtdml_plr$new(obj_xtdml_data, + ml_l = ml_l, ml_m = ml_m, + score = "orth-PO", n_folds = 3) > # Set up a list of parameter grids > param_grid = list("ml_l" = ps(cp = p_dbl(lower = 0.01, upper = 0.02), + maxdepth = p_int(lower = 2, upper = 10)), + "ml_m" = ps(cp = p_dbl(lower = 0.01, upper = 0.02), + maxdepth = p_int(lower = 2, upper = 10))) > > tune_settings = list(n_folds_tune = 3, + rsmp_tune = mlr3::rsmp("cv", folds = 3), + terminator = mlr3tuning::trm("evals", n_evals = 5), + tuner = tnr("grid_search", resolution = 10)) > > obj_xtdml$tune(param_set = param_grid, tune_settings = tune_settings) INFO [13:04:11.985] [bbotk] Starting to optimize 2 parameter(s) with '<OptimizerBatchGridSearch>' and '<TerminatorEvals> [n_evals=5, k=0]' INFO [13:04:12.411] [bbotk] Evaluating 1 configuration(s) INFO [13:04:12.525] [mlr3] Running benchmark with 3 resampling iterations INFO [13:04:13.008] [mlr3] Applying learner 'regr.rpart' on task 'nuis_l' (iter 1/3) INFO [13:04:13.143] [mlr3] Applying learner 'regr.rpart' on task 'nuis_l' (iter 2/3) INFO [13:04:13.250] [mlr3] Applying learner 'regr.rpart' on task 'nuis_l' (iter 3/3) INFO [13:04:13.323] [mlr3] Finished benchmark Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") : attempt access index 9/9 in VECTOR_ELT Calls: <Anonymous> ... initialize -> .__ResultData__initialize -> [ -> [.data.table Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

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