CALIBERrfimpute: Multiple Imputation Using MICE and Random Forest (original) (raw)
Functions to impute using random forest under full conditional specifications (multivariate imputation by chained equations). The methods are described in Shah and others (2014) <doi:10.1093/aje/kwt312>.
Version: | 1.0-7 |
---|---|
Depends: | mice (≥ 2.20) |
Imports: | mvtnorm, randomForest |
Suggests: | missForest, rpart, survival, xtable, ranger |
Published: | 2022-12-04 |
DOI: | 10.32614/CRAN.package.CALIBERrfimpute |
Author: | Anoop Shah [aut, cre], Jonathan Bartlett [ctb], Harry Hemingway [ths], Owen Nicholas [ths], Aroon Hingorani [ths] |
Maintainer: | Anoop Shah |
License: | GPL-3 |
NeedsCompilation: | no |
Citation: | CALIBERrfimpute citation info |
Materials: | |
In views: | MissingData |
CRAN checks: | CALIBERrfimpute results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=CALIBERrfimputeto link to this page.