WeightIt (0.5.1)

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Weighting for Covariate Balance in Observational Studies.

https://github.com/ngreifer/WeightIt
http://cran.r-project.org/web/packages/WeightIt

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

Maintainer: Noah Greifer
Author(s): Noah Greifer [aut, cre]

License: GPL (>= 2)

Uses: cobalt, MNP, boot, gam, gbm, survey, twang, mlogit, class, ebal, SuperLearner, knitr, CBPS, rmarkdown, ATE, wCorr, jtools, optweight
Reverse suggests: cobalt

Released 7 months ago.


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