R Under development (unstable) (2023-09-20 r85183 ucrt) -- "Unsuffered Consequences" Copyright (C) 2023 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(fwildclusterboot) Note that with version 0.15, rademacher weights are drawn from `dqrng::dqrrademacher()` instead of `dqrng::dqsample()`. This brings nice performance gains, but you might no longer be able to exactly reproduce your bootstrap inferences under a given seed. If this is a requirement for you, please revert to `fwildclusterboot` version 0.13-0.14.3. Please cite as: Fischer & Roodman. (2021). fwildclusterboot: Fast Wild Cluster. Bootstrap Inference for Linear Regression Models. Available from https://cran.r-project.org/package=fwildclusterboot/. > > test_check("fwildclusterboot") Too guarantee reproducibility, don't forget to set a global random seed **both** via `set.seed()` and `dqrng::dqset.seed()`. This message is displayed once every 8 hours. Too guarantee reproducibility, don't forget to set a global random seed **both** via `set.seed()` and `dqrng::dqset.seed()`. This message is displayed once every 8 hours. Too guarantee reproducibility, don't forget to set a global random seed via `set.seed()`. This message is displayed once every 8 hours. Confidence Intervals are currently only supported for the R engine with 'bootstrap_type = 'fnw11' '. This message is displayed once every 8 hours. The heteroskedastic bootstrap is only supported for `engine = 'R-lean'`, Resetting the engine argument to 'R-lean'. The heteroskedastic bootstrap is only supported for `engine = 'R-lean'`, Resetting the engine argument to 'R-lean'. The heteroskedastic bootstrap is only supported for `engine = 'R-lean'`, Resetting the engine argument to 'R-lean'. The heteroskedastic bootstrap is only supported for `engine = 'R-lean'`, Resetting the engine argument to 'R-lean'. The heteroskedastic bootstrap is only supported for `engine = 'R-lean'`, Resetting the engine argument to 'R-lean'. The heteroskedastic bootstrap is only supported for `engine = 'R-lean'`, Resetting the engine argument to 'R-lean'. The heteroskedastic bootstrap is only supported for `engine = 'R-lean'`, Resetting the engine argument to 'R-lean'. The heteroskedastic bootstrap is only supported for `engine = 'R-lean'`, Resetting the engine argument to 'R-lean'. The heteroskedastic bootstrap is only supported for `engine = 'R-lean'`, Resetting the engine argument to 'R-lean'. The heteroskedastic bootstrap is only supported for `engine = 'R-lean'`, Resetting the engine argument to 'R-lean'. The heteroskedastic bootstrap is only supported for `engine = 'R-lean'`, Resetting the engine argument to 'R-lean'. The variable 'X2' has been removed because of collinearity (see $collin.var). [ FAIL 0 | WARN 1 | SKIP 21 | PASS 194 ] ══ Skipped tests (21) ══════════════════════════════════════════════════════════ • On CRAN (21): 'test-convergence.R:18:3', 'test-error_warning.R:16:3', 'test-error_warning.R:1428:3', 'test-full-enumeration.R:233:3', 'test-global_vars.R:5:3', 'test-global_vars.R:74:3', 'test-method_equivalence.R:6:3', 'test-new-bootstrap-variants.R:6:3', 'test-new-bootstrap-variants.R:175:3', 'test-new-bootstrap-variants.R:283:3', 'test-new-bootstrap-variants.R:400:3', 'test-r-vs-julia.R:33:3', 'test-seed.R:5:3', 'test-tstat_equivalence.R:365:3', 'test-tstat_equivalence.R:587:3', 'test-tstat_equivalence.R:867:3', 'test-uncategorized.R:5:3', 'test_sunab.R:7:3', 'test_sunab.R:111:3', 'test_tidy.R:4:3', 'test_tidy.R:62:3' [ FAIL 0 | WARN 1 | SKIP 21 | PASS 194 ] > > proc.time() user system elapsed 51.15 1.85 53.03