The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

CALIBERrfimpute: Multiple Imputation Using MICE and Random Forest

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 <anoop at doctors.org.uk>
License: GPL-3
NeedsCompilation: no
Citation: CALIBERrfimpute citation info
Materials: NEWS
In views: MissingData
CRAN checks: CALIBERrfimpute results

Documentation:

Reference manual: CALIBERrfimpute.pdf
Vignettes: Comparison of parametric and Random Forest MICE in imputation of missing data in survival analysis

Downloads:

Package source: CALIBERrfimpute_1.0-7.tar.gz
Windows binaries: r-devel: CALIBERrfimpute_1.0-7.zip, r-release: CALIBERrfimpute_1.0-7.zip, r-oldrel: CALIBERrfimpute_1.0-7.zip
macOS binaries: r-release (arm64): CALIBERrfimpute_1.0-7.tgz, r-oldrel (arm64): CALIBERrfimpute_1.0-7.tgz, r-release (x86_64): CALIBERrfimpute_1.0-7.tgz, r-oldrel (x86_64): CALIBERrfimpute_1.0-7.tgz
Old sources: CALIBERrfimpute archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CALIBERrfimpute to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.