The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
Please use the canonical form https://CRAN.R-project.org/package=weights to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.