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: 1.0-1
Depends: mice (≥ 2.20)
Imports: mvtnorm, randomForest
Suggests: missForest, rpart, survival, xtable
Published: 2018-06-11
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

Downloads:

Reference manual: CALIBERrfimpute.pdf
Package source: CALIBERrfimpute_1.0-1.tar.gz
Windows binaries: r-devel: CALIBERrfimpute_1.0-1.zip, r-release: CALIBERrfimpute_1.0-1.zip, r-oldrel: CALIBERrfimpute_1.0-1.zip
OS X binaries: r-release: CALIBERrfimpute_1.0-1.tgz, r-oldrel: CALIBERrfimpute_1.0-1.tgz
Old sources: CALIBERrfimpute archive

Reverse dependencies:

Reverse suggests: mice

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