WeightIt: Weighting for Covariate Balance in Observational Studies

Generates weights to form equivalent groups in observational studies by easing and extending the functionality of the R packages 'twang' (Ridgeway et al., 2017) <https://CRAN.R-project.org/package=twang> for generalized boosted modeling, 'CBPS' (Fong, Ratkovic, & Imai, 2018) <https://CRAN.R-project.org/package=CBPS> for covariate balancing propensity score weighting, 'ebal' (Hainmueller, 2014) <https://CRAN.R-project.org/package=ebal> for entropy balancing, 'optweight' (Greifer, 2018) <https://CRAN.R-project.org/package=optweight> for optimization-based weights, 'ATE' (Haris & Chan, 2015) <https://CRAN.R-project.org/package=ATE> for empirical balancing calibration weighting, and SuperLearner (Polley, LeDell, Kenney, & van der Laan, 2018) <https://CRAN.R-project.org/package=SuperLearner>. Also allows for assessment of weights and checking of covariate balance by interfacing directly with 'cobalt' (Greifer, 2018) <https://CRAN.R-project.org/package=cobalt>.

Version: 0.5.1
Depends: R (≥ 3.3.0)
Imports: cobalt (≥ 3.6.1)
Suggests: twang (≥ 1.5), CBPS (≥ 0.18), ebal (≥ 0.1-6), ATE (≥ 0.2.0), optweight (≥ 0.2.0), SuperLearner, class, gam, mlogit (≥ 0.3-0), MNP (≥ 3.1-0), survey, jtools, boot, wCorr, gbm (≥ 2.1.3), knitr, rmarkdown
Published: 2019-01-16
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer at gmail.com>
BugReports: https://github.com/ngreifer/WeightIt/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/ngreifer/WeightIt
NeedsCompilation: no
Materials: README NEWS
CRAN checks: WeightIt results


Reference manual: WeightIt.pdf
Vignettes: A Guide to Using WeightIt for Estimating Balancing Weights
Package source: WeightIt_0.5.1.tar.gz
Windows binaries: r-devel: WeightIt_0.5.1.zip, r-release: WeightIt_0.5.1.zip, r-oldrel: WeightIt_0.5.1.zip
OS X binaries: r-release: WeightIt_0.5.1.tgz, r-oldrel: WeightIt_0.5.0.tgz
Old sources: WeightIt archive

Reverse dependencies:

Reverse suggests: cobalt


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