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).

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Description file content

Package
CALIBERrfimpute
Type
Package
Title
Multiple Imputation Using MICE and Random Forest
Version
1.0-1
Date
2018-06-05
Description
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).
License
GPL-3
Depends
mice (>= 2.20)
Imports
mvtnorm, randomForest
Suggests
missForest, rpart, survival, xtable
Author
Anoop Shah [aut, cre], Jonathan Bartlett [ctb], Harry Hemingway [ths], Owen Nicholas [ths], Aroon Hingorani [ths]
Maintainer
Anoop Shah
NeedsCompilation
no
Packaged
2018-06-08 17:10:31 UTC; anoop
Repository
CRAN
Date/Publication
2018-06-11 10:40:00 UTC

install.packages('CALIBERrfimpute')

1.0-1

4 months ago

Anoop Shah

GPL-3

Depends on

mice (>= 2.20)

Imports

mvtnorm, randomForest

Suggests

missForest, rpart, survival, xtable

Discussions