R version 4.4.0 RC (2024-04-16 r86451 ucrt) -- "Puppy Cup" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(testthat) > library(RobinCar) > > test_check("RobinCar") Loading required package: nnls Loading required package: gam Loading required package: splines Loading required package: foreach Loaded gam 1.22-3 Super Learner Version: 2.0-29 Package created on 2024-02-06 Done! .Done! .Done! .Done! Attaching package: 'dplyr' The following object is masked from 'package:testthat': matches The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union Thank you for using fastDummies! To acknowledge our work, please cite the package: Kaplan, J. & Schlegel, B. (2023). fastDummies: Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables. Version 1.7.1. URL: https://github.com/jacobkap/fastDummies, https://jacobkap.github.io/fastDummies/. Joining with `by = join_by(t)` Joining with `by = join_by(t)` Joining with `by = join_by(t)` Joining with `by = join_by(t)` Joining with `by = join_by(t)` Joining with `by = join_by(t)` -- Attaching core tidyverse packages ------------------------ tidyverse 2.0.0 -- v forcats 1.0.0 v readr 2.1.5 v ggplot2 3.5.0 v stringr 1.5.1 v lubridate 1.9.3 v tibble 3.2.1 v purrr 1.0.2 v tidyr 1.3.1 -- Conflicts ------------------------------------------ tidyverse_conflicts() -- x purrr::accumulate() masks foreach::accumulate() x readr::edition_get() masks testthat::edition_get() x dplyr::filter() masks stats::filter() x purrr::is_null() masks testthat::is_null() x dplyr::lag() masks stats::lag() x readr::local_edition() masks testthat::local_edition() x tidyr::matches() masks dplyr::matches(), testthat::matches() x purrr::when() masks foreach::when() i Use the conflicted package () to force all conflicts to become errors Attaching package: 'MASS' The following object is masked from 'package:dplyr': select Treatment group mean estimates using a aipw-type estimator from a GLM working model of family binomial and link logit using adjustment variables: BWTGR1. Used HC0-type of heteroskedasticity-consistent variance estimates Estimates: # A tibble: 3 x 4 treat estimate se `pval (2-sided)` 1 1 0.460 0.0198 5.18e-119 2 2 0.508 0.0193 1.77e-152 3 3 0.487 0.0190 1.27e-145 Variance-Covariance Matrix: [,1] [,2] [,3] 1 3.928283e-04 6.449410e-09 5.903874e-08 2 6.449410e-09 3.731704e-04 -1.564650e-08 3 5.903874e-08 -1.564650e-08 3.594016e-04 Treatment group mean estimates using a aipw-type estimator from a GLM working model of family binomial and link logit using adjustment variables: BWTGR1. Used HC0-type of heteroskedasticity-consistent variance estimates Estimates: # A tibble: 3 x 4 treat estimate se `pval (2-sided)` 1 1 0.460 0.0198 5.18e-119 2 2 0.508 0.0193 1.77e-152 3 3 0.487 0.0190 1.27e-145 Variance-Covariance Matrix: [,1] [,2] [,3] 1 3.928283e-04 6.449410e-09 5.903874e-08 2 6.449410e-09 3.731704e-04 -1.564650e-08 3 5.903874e-08 -1.564650e-08 3.594016e-04 Treatment group mean estimates using a aipw-type estimator from a GLM working model of family binomial and link logit using adjustment variables: BWTGR1. Used HC0-type of heteroskedasticity-consistent variance estimates Estimates: # A tibble: 3 x 4 treat estimate se `pval (2-sided)` 1 1 0.460 0.0198 5.18e-119 2 2 0.508 0.0193 1.77e-152 3 3 0.487 0.0190 1.27e-145 Variance-Covariance Matrix: [,1] [,2] [,3] 1 3.928283e-04 6.449410e-09 5.903874e-08 2 6.449410e-09 3.731704e-04 -1.564650e-08 3 5.903874e-08 -1.564650e-08 3.594016e-04 Joining with `by = join_by(t)` Joining with `by = join_by(t)` Joining with `by = join_by(t)` Joining with `by = join_by(t)` [ FAIL 0 | WARN 177 | SKIP 3 | PASS 300 ] ══ Skipped tests (3) ═══════════════════════════════════════════════════════════ • This works, but not in the testthat environment. (1): 'test-SL.R:51:3' • empty test (2): 'test-SL.R:18:1', 'test-SL.R:32:1' [ FAIL 0 | WARN 177 | SKIP 3 | PASS 300 ] > > proc.time() user system elapsed 48.37 2.96 47.96