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CALIBERrfimpute  

Multiple Imputation Using MICE and Random Forest
View on CRAN: Click here


Download and install CALIBERrfimpute package within the R console
Install from CRAN:
install.packages("CALIBERrfimpute")

Install from Github:
library("remotes")
install_github("cran/CALIBERrfimpute")

Install by package version:
library("remotes")
install_version("CALIBERrfimpute", "1.0-7")



Attach the package and use:
library("CALIBERrfimpute")
Maintained by
Anoop Shah
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-11-11
Latest Update: 2022-12-04
Description:
Functions to impute using random forest under full conditional specifications (multivariate imputation by chained equations). The methods are described in Shah and others (2014) .
How to cite:
Anoop Shah (2013). CALIBERrfimpute: Multiple Imputation Using MICE and Random Forest. R package version 1.0-7, https://cran.r-project.org/web/packages/CALIBERrfimpute. Accessed 01 Jun. 2025.
Previous versions and publish date:
0.1-2 (2013-11-11 13:48), 0.1-4 (2014-02-13 14:29), 0.1-5 (2014-03-24 08:07), 0.1-6 (2014-05-07 19:26), 1.0-1 (2018-06-11 12:40), 1.0-5 (2021-05-05 09:00), 1.0-6 (2021-11-26 00:20)
Other packages that cited CALIBERrfimpute R package
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Other R packages that CALIBERrfimpute depends, imports, suggests or enhances
Complete documentation for CALIBERrfimpute
Functions, R codes and Examples using the CALIBERrfimpute R package
Some associated functions: CALIBERrfimpute-package . makemar . mice.impute.rfcat . mice.impute.rfcont . setRFoptions . simdata . 
Some associated R codes: makemar.R . mice.impute.rfcat.R . mice.impute.rfcont.R . setRFoptions.R . simdata.R .  Full CALIBERrfimpute package functions and examples
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