* using log directory 'd:/Rcompile/CRANpkg/local/4.4/CausalGPS.Rcheck' * using R version 4.4.3 (2025-02-28 ucrt) * using platform: x86_64-w64-mingw32 * R was compiled by gcc.exe (GCC) 13.3.0 GNU Fortran (GCC) 13.3.0 * running under: Windows Server 2022 x64 (build 20348) * using session charset: UTF-8 * checking for file 'CausalGPS/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'CausalGPS' version '0.5.0' * 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 'CausalGPS' can be installed ... OK * used C++ compiler: 'g++.exe (GCC) 13.3.0' * 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 ... [4s] OK * checking whether the package can be loaded with stated dependencies ... [3s] OK * checking whether the package can be unloaded cleanly ... [4s] 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 ... [4s] 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 ... [13s] OK * checking Rd files ... [1s] 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 ... [1s] OK * checking data for ASCII and uncompressed saves ... OK * checking R/sysdata.rda ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking pragmas in C/C++ headers and code ... OK * checking compiled code ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ... [8s] OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... [15s] ERROR Running 'testthat.R' [14s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(CausalGPS) > > Sys.setenv("R_TESTS" = "") > library(testthat) > test_check("CausalGPS") Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Saving _problems/test-estimate_erf-22.R Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Saving _problems/test-estimate_gps-29.R Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Saving _problems/test-generate_pseudo_pop-35.R Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Saving _problems/test-trim_it-34.R [ FAIL 4 | WARN 200 | SKIP 19 | PASS 68 ] ══ Skipped tests (19) ══════════════════════════════════════════════════════════ • On CRAN (17): 'test-CausalGPS_smooth.R:3:4', 'test-absolute_corr_fun.R:4:3', 'test-absolute_weighted_corr_fun.R:4:3', 'test-check_covar_balance.R:2:1', 'test-check_kolmogorov_smirnov.R:2:3', 'test-compile_pseudo_pop.R:3:3', 'test-compute_density.R:3:3', 'test-compute_minmax.R:3:3', 'test-compute_resid.R:3:3', 'test-create_weighting.R:3:3', 'test-estimate_gps.R:63:3', 'test-estimate_gps.R:92:3', 'test-estimate_hat_vals.R:3:3', 'test-matching_fn.R:3:3', 'test-set_logger.R:3:5', 'test-train_it.R:3:3', 'test-train_it.R:18:3' • empty test (2): 'test-estimate_npmetric_erf.R:1:1', 'test-estimate_npmetric_erf.R:89:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-estimate_erf.R:19:3'): estimate erf works as expected ────────── Error in `SuperLearner::SuperLearner(Y = target, X = data.frame(input), SL.library = sl_lib_internal)`: All algorithms dropped from library Backtrace: ▆ 1. └─CausalGPS::estimate_gps(...) at test-estimate_erf.R:19:3 2. └─CausalGPS:::train_it(...) 3. └─SuperLearner::SuperLearner(...) ── Error ('test-estimate_gps.R:26:3'): estimate_gps works as expected. ───────── Error in `SuperLearner::SuperLearner(Y = target, X = data.frame(input), SL.library = sl_lib_internal)`: All algorithms dropped from library Backtrace: ▆ 1. └─CausalGPS::estimate_gps(...) at test-estimate_gps.R:26:3 2. └─CausalGPS:::train_it(...) 3. └─SuperLearner::SuperLearner(...) ── Error ('test-generate_pseudo_pop.R:31:3'): generate_pseudo_pop works as expected. ── Error in `SuperLearner::SuperLearner(Y = target, X = data.frame(input), SL.library = sl_lib_internal)`: All algorithms dropped from library Backtrace: ▆ 1. └─CausalGPS::estimate_gps(...) at test-generate_pseudo_pop.R:31:3 2. └─CausalGPS:::train_it(...) 3. └─SuperLearner::SuperLearner(...) ── Error ('test-trim_it.R:31:3'): trim_it works as expected ──────────────────── Error in `SuperLearner::SuperLearner(Y = target, X = data.frame(input), SL.library = sl_lib_internal)`: All algorithms dropped from library Backtrace: ▆ 1. └─CausalGPS::estimate_gps(...) at test-trim_it.R:31:3 2. └─CausalGPS:::train_it(...) 3. └─SuperLearner::SuperLearner(...) [ FAIL 4 | WARN 200 | SKIP 19 | PASS 68 ] Error: ! Test failures. Execution halted * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... [19s] OK * checking PDF version of manual ... [19s] OK * checking HTML version of manual ... [9s] OK * DONE Status: 1 ERROR