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 |
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Reverse dependencies:
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