WeightIt (0.9.0)

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Weighting for Covariate Balance in Observational Studies.


Generates weights to form equivalent groups in observational studies with point or longitudinal treatments by easing and extending the functionality of the R packages 'twang' for generalized boosted modeling (McCaffrey, Ridgeway & Morral, 2004) , 'CBPS' for covariate balancing propensity score weighting (Imai & Ratkovic, 2014) , 'ebal' for entropy balancing (Hainmueller, 2012) , 'optweight' for optimization-based weights (Zubizarreta, 2015) , 'ATE' for empirical balancing calibration weighting (Chan, Yam, & Zhang, 2016) , and 'SuperLearner' for stacked machine learning-based propensity scores (Pirracchio, Petersen, & van der Laan, 2015) . Also allows for assessment of weights and checking of covariate balance by interfacing directly with 'cobalt'.

Maintainer: Noah Greifer
Author(s): Noah Greifer [aut, cre] (<https://orcid.org/0000-0003-3067-7154>)

License: GPL (>= 2)

Uses: backports, crayon, ggplot2, MNP, boot, gbm, survey, twang, mlogit, MASS, ebal, SuperLearner, knitr, CBPS, rmarkdown, ATE, cobalt, jtools, brglm2, optweight, misaem
Reverse depends: MatchThem
Reverse suggests: cobalt

Released about 1 month ago.

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