CALIBERrfimpute: Multiple imputation using MICE and Random Forest

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>
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:, r-release:, r-oldrel:
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