weights: Weighting and Weighted Statistics

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 dependencies:

Reverse depends: anesrake
Reverse imports: DeepLearningCausal, exploratory, ezr, lctools, maic, matchMulti, poliscidata, PPbigdata, RCPA3, smacof, smacofx, smicd
Reverse suggests: jtools


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