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: | 1.0-6 |
| Depends: | mice (≥ 2.20) |
| Imports: | mvtnorm, randomForest |
| Suggests: | missForest, rpart, survival, xtable |
| Published: | 2021-11-25 |
| Author: | Anoop Shah [aut, cre], Jonathan Bartlett [ctb], Harry Hemingway [ths], Owen Nicholas [ths], Aroon Hingorani [ths] |
| Maintainer: | Anoop Shah <anoop at doctors.org.uk> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | CALIBERrfimpute citation info |
| Materials: | NEWS |
| In views: | MissingData |
| CRAN checks: | CALIBERrfimpute results |
| Reference manual: | CALIBERrfimpute.pdf |
| Vignettes: |
Comparison of parametric and Random Forest MICE in imputation of missing data in survival analysis |
| Package source: | CALIBERrfimpute_1.0-6.tar.gz |
| Windows binaries: | r-devel: CALIBERrfimpute_1.0-6.zip, r-release: CALIBERrfimpute_1.0-6.zip, r-oldrel: CALIBERrfimpute_1.0-6.zip |
| macOS binaries: | r-release (arm64): CALIBERrfimpute_1.0-6.tgz, r-oldrel (arm64): CALIBERrfimpute_1.0-6.tgz, r-release (x86_64): CALIBERrfimpute_1.0-6.tgz, r-oldrel (x86_64): CALIBERrfimpute_1.0-6.tgz |
| Old sources: | CALIBERrfimpute archive |
Please use the canonical form https://CRAN.R-project.org/package=CALIBERrfimpute to link to this page.