Functions to impute using Random Forest under Full Conditional Specifications (Multivariate Imputation by Chained Equations). The CALIBER programme is funded by the Wellcome Trust (086091/Z/08/Z) and the National Institute for Health Research (NIHR) under its Programme Grants for Applied Research programme (RP-PG-0407-10314). The author is supported by a Wellcome Trust Clinical Research Training Fellowship (0938/30/Z/10/Z).
| Version: | 0.1-6 |
| Depends: | mice (≥ 2.20) |
| Imports: | mvtnorm, randomForest |
| Suggests: | missForest, rpart, survival, xtable |
| Published: | 2014-05-07 |
| 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 |
| 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_0.1-6.tar.gz |
| Windows binaries: | r-devel: CALIBERrfimpute_0.1-6.zip, r-release: CALIBERrfimpute_0.1-6.zip, r-oldrel: CALIBERrfimpute_0.1-6.zip |
| OS X Snow Leopard binaries: | r-release: CALIBERrfimpute_0.1-6.tgz, r-oldrel: CALIBERrfimpute_0.1-6.tgz |
| OS X Mavericks binaries: | r-release: CALIBERrfimpute_0.1-6.tgz |
| Old sources: | CALIBERrfimpute archive |