[aut, cre]Generate balance tables and plots for covariates of groups preprocessed through matching, weighting or subclassification, for example, using propensity scores. Includes integration with 'MatchIt', 'twang', 'Matching', 'optmatch', 'CBPS', 'ebal', 'WeightIt', 'cem', 'sbw', and 'designmatch' for assessing balance on the output of their preprocessing functions. Users can also specify data for balance assessment not generated through the above packages. Also included are methods for assessing balance in clustered or multiply imputed data sets or data sets with longitudinal treatments.
| Version: | 4.2.2 |
| Depends: | R (≥ 3.3.0) |
| Imports: | ggplot2 (≥ 3.3.0), grid, gtable (≥ 0.3.0), gridExtra (≥ 2.3.0), rlang (≥ 0.4.0), crayon, backports (≥ 1.1.8) |
| Suggests: | MatchIt, WeightIt (≥ 0.5.0), twang (≥ 1.6), Matching, optmatch, cem, ebal, CBPS (≥ 0.17), designmatch, optweight, mice (≥ 3.8.0), MatchThem (≥ 0.9.3), sbw, mlogit, knitr, rmarkdown |
| Published: | 2020-06-26 |
| Author: | Noah Greifer
[aut, cre] |
| Maintainer: | Noah Greifer <noah.greifer at gmail.com> |
| BugReports: | https://github.com/ngreifer/cobalt/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/ngreifer/cobalt |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | cobalt results |
| Reference manual: | cobalt.pdf |
| Vignettes: |
Covariate Balance Tables and Plots: A Guide to the cobalt Package Appendix 1: Using cobalt with Other Preprocessing Packages Appendix 2: Using cobalt with Clustered, Multiply Imputed, and Other Segmented Data Appendix 3: Using cobalt with Longitudinal Treatments Appendix 4: Using love.plot To Generate Love Plots |
| Package source: | cobalt_4.2.2.tar.gz |
| Windows binaries: | r-devel: cobalt_4.2.2.zip, r-release: cobalt_4.2.0.zip, r-oldrel: cobalt_4.1.0.zip |
| macOS binaries: | r-release: cobalt_4.2.2.tgz, r-oldrel: cobalt_4.2.2.tgz |
| Old sources: | cobalt archive |
| Reverse imports: | WeightIt |
| Reverse suggests: | MatchThem, optweight |
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