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Provides a variety of functions for producing simple weighted statistics, such as weighted Pearson's correlations, partial correlations, Chi-Squared statistics, histograms, and t-tests. Also now includes some software for quickly recoding survey data and plotting estimates from interaction terms in regressions (and multiply imputed regressions) both with and without weights. NOTE: Weighted partial correlation calculations pulled to address a bug.
| Version: | 1.0.4 |
| Depends: | Hmisc |
| Imports: | mice, gdata, lme4 |
| Published: | 2021-06-10 |
| DOI: | 10.32614/CRAN.package.weights |
| Author: | Josh Pasek [aut, cre], with some assistance from Alex Tahk and some code modified from R-core; Additional contributions by Gene Culter and Marcus Schwemmle. |
| Maintainer: | Josh Pasek <josh at joshpasek.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| In views: | OfficialStatistics |
| CRAN checks: | weights results |
| Reference manual: | weights.pdf |
| Package source: | weights_1.0.4.tar.gz |
| Windows binaries: | r-devel: weights_1.0.4.zip, r-release: weights_1.0.4.zip, r-oldrel: weights_1.0.4.zip |
| macOS binaries: | r-release (arm64): weights_1.0.4.tgz, r-oldrel (arm64): weights_1.0.4.tgz, r-release (x86_64): weights_1.0.4.tgz, r-oldrel (x86_64): weights_1.0.4.tgz |
| Old sources: | weights archive |
| Reverse depends: | anesrake |
| Reverse imports: | DeepLearningCausal, exploratory, ezr, lctools, maic, matchMulti, poliscidata, PPbigdata, RCPA3, smacof, smacofx, smicd, SuperCell |
| Reverse suggests: | jtools |
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