• using R Under development (unstable) (2025-12-07 r89119)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     gcc-15 (Debian 15.2.0-9) 15.2.0     GNU Fortran (Debian 15.2.0-9) 15.2.0
• running under: Debian GNU/Linux forky/sid
• 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 CRAN incoming feasibility ... [1s/2s] OK
• 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 executable files ... OK
• checking for hidden files and directories ... OK
• checking for portable file names ... OK
• checking for sufficient/correct file permissions ... OK
• checking whether package ‘CausalGPS’ can be installed ... OK See the install log for details.
• used C++ compiler: ‘g++-15 (Debian 15.2.0-9) 15.2.0’
• checking package directory ... OK
• checking for future file timestamps ... OK
• checking ‘build’ directory ... OK
• checking DESCRIPTION meta-information ... NOTE Author field differs from that derived from Authors@R   Author: ‘Naeem Khoshnevis [aut, cre] (<https://orcid.org/0000-0003-4315-1426>, Kempner), Xiao Wu [aut] (<https://orcid.org/0000-0002-4884-657X>, CUMC), Danielle Braun [aut] (<https://orcid.org/0000-0002-5177-8598>, HSPH)’   Authors@R: ‘Naeem Khoshnevis [aut, cre] (ORCID: <https://orcid.org/0000-0003-4315-1426>, AFFILIATION: Kempner), Xiao Wu [aut] (ORCID: <https://orcid.org/0000-0002-4884-657X>, AFFILIATION: CUMC), Danielle Braun [aut] (ORCID: <https://orcid.org/0000-0002-5177-8598>, AFFILIATION: HSPH)’
• checking top-level files ... OK
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• checking index information ... OK
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• checking code files for non-ASCII characters ... OK
• checking R files for syntax errors ... OK
• checking whether the package can be loaded ... [2s/3s] OK
• checking whether the package can be loaded with stated dependencies ... [2s/3s] OK
• checking whether the package can be unloaded cleanly ... [2s/4s] OK
• checking whether the namespace can be loaded with stated dependencies ... [3s/3s] OK
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• checking loading without being on the library search path ... [3s/3s] OK
• checking whether startup messages can be suppressed ... [2s/3s] 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/18s] OK
• checking Rd files ... [0s/1s] OK
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• 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 ... [0s/0s] 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
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• checking use of SHLIB_OPENMP_*FLAGS in Makefiles ... OK
• checking pragmas in C/C++ headers and code ... OK
• checking compilation flags used ... OK
• checking compiled code ... OK
• checking installed files from ‘inst/doc’ ... OK
• checking files in ‘vignettes’ ... OK
• checking examples ... [3s/3s] OK
• checking for unstated dependencies in ‘tests’ ... OK
• checking tests ... [9s/12s] ERROR   Running ‘testthat.R’ [9s/11s] 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 ... [11s/16s] OK
• checking PDF version of manual ... [5s/6s] OK
• checking HTML version of manual ... [2s/3s] OK
• checking for non-standard things in the check directory ... OK
• DONE

Status: 1 ERROR, 1 NOTE