CRAN Package Check Results for Maintainer ‘Falco Joannes Bargagli Stoffi <fbargaglistoffi at hsph.harvard.edu>’

Last updated on 2025-12-08 15:50:02 CET.

Package	ERROR	OK
CRE	5	8

Package CRE

Current CRAN status: ERROR: 5, OK: 8

Version: 0.2.7
Check: tests
Result: ERROR Running ‘testthat.R’ [4s/4s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(CRE) > > test_check("CRE") Error in xgboost::xgboost(data = xgmat, objective = "binary:logistic", : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = "binary:logistic", : argument "y" is missing, with no default Saving _problems/test-estimate_cate-165.R [ FAIL 1 | WARN 10 | SKIP 25 | PASS 4 ] ══ Skipped tests (25) ══════════════════════════════════════════════════════════ • On CRAN (25): 'test-check_input_data.R:3:3', 'test-cre.R:3:3', 'test-discover_rules.R:3:3', 'test-estimate_cate.R:3:3', 'test-estimate_ite.R:4:3', 'test-estimate_ite_aipw.R:3:3', 'test-estimate_ite_bart.R:4:3', 'test-estimate_ite_cf.R:4:3', 'test-estimate_ite_poisson.R:3:3', 'test-estimate_ite_slearner.R:3:3', 'test-estimate_ite_tlearner.R:3:3', 'test-estimate_ite_xlearner.R:3:3', 'test-estimate_ps.R:3:3', 'test-evaluate.R:3:3', 'test-extract_effect_modifiers.R:2:3', 'test-extract_rules.R:4:3', 'test-filter_correlated_rules.R:3:3', 'test-filter_extreme_rules.R:3:3', 'test-filter_irrelevant_rules.R:4:3', 'test-generate_cre_dataset.R:4:3', 'test-generate_rules.R:3:3', 'test-generate_rules_matrix.R:3:3', 'test-honest_splitting.R:3:3', 'test-interpret_rules.R:3:3', 'test-predict.R:3:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-estimate_cate.R:162:3'): CATE Estimation Runs Correctly (test 2/2) ── Error in `SuperLearner::SuperLearner(Y = z, X = as.data.frame(X), newX = as.data.frame(X), family = binomial(), SL.library = ps_method, cvControl = list(V = 0))`: All algorithms dropped from library Backtrace: ▆ 1. └─CRE:::estimate_ite(...) at test-estimate_cate.R:162:3 2. └─CRE:::estimate_ite_aipw(y, z, X, learner_ps, learner_y) 3. └─CRE:::estimate_ps(z, X, learner_ps) 4. └─SuperLearner::SuperLearner(...) [ FAIL 1 | WARN 10 | SKIP 25 | PASS 4 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.2.7
Check: tests
Result: ERROR Running ‘testthat.R’ [8s/24s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(CRE) > > test_check("CRE") Error in xgboost::xgboost(data = xgmat, objective = "binary:logistic", : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = "binary:logistic", : argument "y" is missing, with no default Saving _problems/test-estimate_cate-165.R [ FAIL 1 | WARN 10 | SKIP 25 | PASS 4 ] ══ Skipped tests (25) ══════════════════════════════════════════════════════════ • On CRAN (25): 'test-check_input_data.R:3:3', 'test-cre.R:3:3', 'test-discover_rules.R:3:3', 'test-estimate_cate.R:3:3', 'test-estimate_ite.R:4:3', 'test-estimate_ite_aipw.R:3:3', 'test-estimate_ite_bart.R:4:3', 'test-estimate_ite_cf.R:4:3', 'test-estimate_ite_poisson.R:3:3', 'test-estimate_ite_slearner.R:3:3', 'test-estimate_ite_tlearner.R:3:3', 'test-estimate_ite_xlearner.R:3:3', 'test-estimate_ps.R:3:3', 'test-evaluate.R:3:3', 'test-extract_effect_modifiers.R:2:3', 'test-extract_rules.R:4:3', 'test-filter_correlated_rules.R:3:3', 'test-filter_extreme_rules.R:3:3', 'test-filter_irrelevant_rules.R:4:3', 'test-generate_cre_dataset.R:4:3', 'test-generate_rules.R:3:3', 'test-generate_rules_matrix.R:3:3', 'test-honest_splitting.R:3:3', 'test-interpret_rules.R:3:3', 'test-predict.R:3:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-estimate_cate.R:162:3'): CATE Estimation Runs Correctly (test 2/2) ── Error in `SuperLearner::SuperLearner(Y = z, X = as.data.frame(X), newX = as.data.frame(X), family = binomial(), SL.library = ps_method, cvControl = list(V = 0))`: All algorithms dropped from library Backtrace: ▆ 1. └─CRE:::estimate_ite(...) at test-estimate_cate.R:162:3 2. └─CRE:::estimate_ite_aipw(y, z, X, learner_ps, learner_y) 3. └─CRE:::estimate_ps(z, X, learner_ps) 4. └─SuperLearner::SuperLearner(...) [ FAIL 1 | WARN 10 | SKIP 25 | PASS 4 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.2.7
Check: tests
Result: ERROR Running ‘testthat.R’ [9s/31s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(CRE) > > test_check("CRE") Error in xgboost::xgboost(data = xgmat, objective = "binary:logistic", : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = "binary:logistic", : argument "y" is missing, with no default Saving _problems/test-estimate_cate-165.R [ FAIL 1 | WARN 10 | SKIP 25 | PASS 4 ] ══ Skipped tests (25) ══════════════════════════════════════════════════════════ • On CRAN (25): 'test-check_input_data.R:3:3', 'test-cre.R:3:3', 'test-discover_rules.R:3:3', 'test-estimate_cate.R:3:3', 'test-estimate_ite.R:4:3', 'test-estimate_ite_aipw.R:3:3', 'test-estimate_ite_bart.R:4:3', 'test-estimate_ite_cf.R:4:3', 'test-estimate_ite_poisson.R:3:3', 'test-estimate_ite_slearner.R:3:3', 'test-estimate_ite_tlearner.R:3:3', 'test-estimate_ite_xlearner.R:3:3', 'test-estimate_ps.R:3:3', 'test-evaluate.R:3:3', 'test-extract_effect_modifiers.R:2:3', 'test-extract_rules.R:4:3', 'test-filter_correlated_rules.R:3:3', 'test-filter_extreme_rules.R:3:3', 'test-filter_irrelevant_rules.R:4:3', 'test-generate_cre_dataset.R:4:3', 'test-generate_rules.R:3:3', 'test-generate_rules_matrix.R:3:3', 'test-honest_splitting.R:3:3', 'test-interpret_rules.R:3:3', 'test-predict.R:3:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-estimate_cate.R:162:3'): CATE Estimation Runs Correctly (test 2/2) ── Error in `SuperLearner::SuperLearner(Y = z, X = as.data.frame(X), newX = as.data.frame(X), family = binomial(), SL.library = ps_method, cvControl = list(V = 0))`: All algorithms dropped from library Backtrace: ▆ 1. └─CRE:::estimate_ite(...) at test-estimate_cate.R:162:3 2. └─CRE:::estimate_ite_aipw(y, z, X, learner_ps, learner_y) 3. └─CRE:::estimate_ps(z, X, learner_ps) 4. └─SuperLearner::SuperLearner(...) [ FAIL 1 | WARN 10 | SKIP 25 | PASS 4 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.2.7
Check: tests
Result: ERROR Running ‘testthat.R’ [5s/6s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(CRE) > > test_check("CRE") Error in xgboost::xgboost(data = xgmat, objective = "binary:logistic", : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = "binary:logistic", : argument "y" is missing, with no default Saving _problems/test-estimate_cate-165.R [ FAIL 1 | WARN 10 | SKIP 25 | PASS 4 ] ══ Skipped tests (25) ══════════════════════════════════════════════════════════ • On CRAN (25): 'test-check_input_data.R:3:3', 'test-cre.R:3:3', 'test-discover_rules.R:3:3', 'test-estimate_cate.R:3:3', 'test-estimate_ite.R:4:3', 'test-estimate_ite_aipw.R:3:3', 'test-estimate_ite_bart.R:4:3', 'test-estimate_ite_cf.R:4:3', 'test-estimate_ite_poisson.R:3:3', 'test-estimate_ite_slearner.R:3:3', 'test-estimate_ite_tlearner.R:3:3', 'test-estimate_ite_xlearner.R:3:3', 'test-estimate_ps.R:3:3', 'test-evaluate.R:3:3', 'test-extract_effect_modifiers.R:2:3', 'test-extract_rules.R:4:3', 'test-filter_correlated_rules.R:3:3', 'test-filter_extreme_rules.R:3:3', 'test-filter_irrelevant_rules.R:4:3', 'test-generate_cre_dataset.R:4:3', 'test-generate_rules.R:3:3', 'test-generate_rules_matrix.R:3:3', 'test-honest_splitting.R:3:3', 'test-interpret_rules.R:3:3', 'test-predict.R:3:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-estimate_cate.R:162:3'): CATE Estimation Runs Correctly (test 2/2) ── Error in `SuperLearner::SuperLearner(Y = z, X = as.data.frame(X), newX = as.data.frame(X), family = binomial(), SL.library = ps_method, cvControl = list(V = 0))`: All algorithms dropped from library Backtrace: ▆ 1. └─CRE:::estimate_ite(...) at test-estimate_cate.R:162:3 2. └─CRE:::estimate_ite_aipw(y, z, X, learner_ps, learner_y) 3. └─CRE:::estimate_ps(z, X, learner_ps) 4. └─SuperLearner::SuperLearner(...) [ FAIL 1 | WARN 10 | SKIP 25 | PASS 4 ] Error: ! Test failures. Execution halted Flavor: r-release-linux-x86_64

Version: 0.2.7
Check: tests
Result: ERROR Running 'testthat.R' [6s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(CRE) > > test_check("CRE") Error in xgboost::xgboost(data = xgmat, objective = "binary:logistic", : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = "binary:logistic", : argument "y" is missing, with no default Saving _problems/test-estimate_cate-165.R [ FAIL 1 | WARN 10 | SKIP 25 | PASS 4 ] ══ Skipped tests (25) ══════════════════════════════════════════════════════════ • On CRAN (25): 'test-check_input_data.R:3:3', 'test-cre.R:3:3', 'test-discover_rules.R:3:3', 'test-estimate_cate.R:3:3', 'test-estimate_ite.R:4:3', 'test-estimate_ite_aipw.R:3:3', 'test-estimate_ite_bart.R:4:3', 'test-estimate_ite_cf.R:4:3', 'test-estimate_ite_poisson.R:3:3', 'test-estimate_ite_slearner.R:3:3', 'test-estimate_ite_tlearner.R:3:3', 'test-estimate_ite_xlearner.R:3:3', 'test-estimate_ps.R:3:3', 'test-evaluate.R:3:3', 'test-extract_effect_modifiers.R:2:3', 'test-extract_rules.R:4:3', 'test-filter_correlated_rules.R:3:3', 'test-filter_extreme_rules.R:3:3', 'test-filter_irrelevant_rules.R:4:3', 'test-generate_cre_dataset.R:4:3', 'test-generate_rules.R:3:3', 'test-generate_rules_matrix.R:3:3', 'test-honest_splitting.R:3:3', 'test-interpret_rules.R:3:3', 'test-predict.R:3:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-estimate_cate.R:162:3'): CATE Estimation Runs Correctly (test 2/2) ── Error in `SuperLearner::SuperLearner(Y = z, X = as.data.frame(X), newX = as.data.frame(X), family = binomial(), SL.library = ps_method, cvControl = list(V = 0))`: All algorithms dropped from library Backtrace: ▆ 1. └─CRE:::estimate_ite(...) at test-estimate_cate.R:162:3 2. └─CRE:::estimate_ite_aipw(y, z, X, learner_ps, learner_y) 3. └─CRE:::estimate_ps(z, X, learner_ps) 4. └─SuperLearner::SuperLearner(...) [ FAIL 1 | WARN 10 | SKIP 25 | PASS 4 ] Error: ! Test failures. Execution halted Flavor: r-oldrel-windows-x86_64