CRAN/E | CALIBERrfimpute

CALIBERrfimpute

Multiple Imputation Using MICE and Random Forest

Installation

About

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.

Citation CALIBERrfimpute citation info

Key Metrics

Version 1.0-7
Published 2022-12-04 509 days ago
Needs compilation? no
License GPL-3
CRAN checks CALIBERrfimpute results

Downloads

Yesterday 10 -62%
Last 7 days 96 -3%
Last 30 days 402 +1%
Last 90 days 1.179 -14%
Last 365 days 5.061 -9%

Maintainer

Maintainer

Anoop Shah

anoop@doctors.org.uk

Authors

Anoop Shah

aut / cre

Jonathan Bartlett

ctb

Harry Hemingway

ths

Owen Nicholas

ths

Aroon Hingorani

ths

Material

NEWS
Reference manual
Package source

In Views

MissingData

Vignettes

Comparison of parametric and Random Forest MICE in imputation of missing data in survival analysis

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CALIBERrfimpute archive

Depends

mice ≥ 2.20

Imports

mvtnorm
randomForest

Suggests

missForest
rpart
survival
xtable
ranger