Last updated on 2025-12-07 07:50:39 CET.
| Package | ERROR | NOTE | OK |
|---|---|---|---|
| CausalGPS | 5 | 1 | 7 |
Current CRAN status: ERROR: 5, NOTE: 1, OK: 7
Version: 0.5.0
Check: DESCRIPTION meta-information
Result: 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)’
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.5.0
Check: package dependencies
Result: ERROR
Packages required but not available: 'SuperLearner', 'gam'
Packages suggested but not available for checking:
'covr', 'knitr', 'rmarkdown'
VignetteBuilder package required for checking but not installed: ‘knitr’
See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.5.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [20s/62s]
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
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.5.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [19s/75s]
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
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.5.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [12s/15s]
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
Flavor: r-release-linux-x86_64
Version: 0.5.0
Check: tests
Result: 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
Flavor: r-oldrel-windows-x86_64