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Robust nonparametric bootstrap and permutation tests for location, correlation, and regression problems, as described in Helwig (2019a) <doi:10.1002/wics.1457> and Helwig (2019b) <doi:10.1016/j.neuroimage.2019.116030>. Univariate and multivariate tests are supported. For each problem, exact tests and Monte Carlo approximations are available. Five different nonparametric bootstrap confidence intervals are implemented. Parallel computing is implemented via the 'parallel' package.
| Version: | 1.1 |
| Published: | 2023-04-14 |
| Author: | Nathaniel E. Helwig |
| Maintainer: | Nathaniel E. Helwig <helwig at umn.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| CRAN checks: | nptest results |
| Reference manual: | nptest.pdf |
| Package source: | nptest_1.1.tar.gz |
| Windows binaries: | r-devel: nptest_1.1.zip, r-release: nptest_1.1.zip, r-oldrel: nptest_1.1.zip |
| macOS binaries: | r-release (arm64): nptest_1.1.tgz, r-oldrel (arm64): nptest_1.1.tgz, r-release (x86_64): nptest_1.1.tgz, r-oldrel (x86_64): nptest_1.1.tgz |
| Old sources: | nptest archive |
| Reverse depends: | resilience |
| Reverse imports: | negligible |
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