Package: WeightIt
Type: Package
Title: Weighting for Covariate Balance in Observational Studies
Version: 0.6.0
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Description: 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) <doi:10.1037/1082-989X.9.4.403>, 'CBPS' for covariate balancing propensity score weighting (Imai & Ratkovic, 2014) <doi:10.1111/rssb.12027>, 'ebal' for entropy balancing (Hainmueller, 2012) <doi:10.1093/pan/mpr025>, 'optweight' for optimization-based weights (Zubizarreta, 2015) <doi:10.1080/01621459.2015.1023805>, 'ATE' for empirical balancing calibration weighting (Chan, Yam, & Zhang, 2016) <doi:10.1111/rssb.12129>, and 'SuperLearner' for stacked machine learning-based propensity scores (Pirracchio, Petersen, & van der Laan, 2015) <doi:10.1093/aje/kwu253>. Also allows for assessment of weights and checking of covariate balance by interfacing directly with 'cobalt'.
Depends: R (>= 3.3.0)
Imports: ggplot2 (>= 3.0.0)
Suggests: twang (>= 1.5), CBPS (>= 0.18), ebal (>= 0.1-6), ATE (>=
        0.2.0), optweight (>= 0.2.4), SuperLearner (>= 2.0-25), class,
        gam, mlogit (>= 0.3-0), MNP (>= 3.1-0), survey, jtools, boot,
        gbm (>= 2.1.3), knitr, rmarkdown
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: https://github.com/ngreifer/WeightIt
BugReports: https://github.com/ngreifer/WeightIt/issues
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-09-05 01:42:58 UTC; NoahGreifer
Repository: CRAN
Date/Publication: 2019-09-05 07:50:02 UTC
