missForest: Nonparametric Missing Value Imputation using Random Forest
Version 1.4

The function 'missForest' in this package is used to impute missing values particularly in the case of mixed-type data. It uses a random forest trained on the observed values of a data matrix to predict the missing values. It can be used to impute continuous and/or categorical data including complex interactions and non-linear relations. It yields an out-of-bag (OOB) imputation error estimate without the need of a test set or elaborate cross-validation. It can be run in parallel to save computation time.

AuthorDaniel J. Stekhoven <stekhoven@stat.math.ethz.ch>
Date of publication2013-12-31 16:17:04
MaintainerDaniel J. Stekhoven <stekhoven@stat.math.ethz.ch>
LicenseGPL (>= 2)
Version1.4
URL http://www.r-project.org https://github.com/stekhoven/missForest
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("missForest")

Getting started

Package overview
README.md

Popular man pages

missForest: Nonparametric Missing Value Imputation using Random Forest
missForest-package: Nonparametric Missing Value Imputation using Random Forest
mixError: Compute Imputation Error for Mixed-type Data
nrmse: Normalized Root Mean Squared Error
prodNA: Introduce Missing Values Completely at Random
varClass: Extract Variable Types from a Dataframe
See all...

All man pages Function index File listing

Man pages

missForest: Nonparametric Missing Value Imputation using Random Forest
missForest-package: Nonparametric Missing Value Imputation using Random Forest
mixError: Compute Imputation Error for Mixed-type Data
nrmse: Normalized Root Mean Squared Error
prodNA: Introduce Missing Values Completely at Random
varClass: Extract Variable Types from a Dataframe

Functions

Files

inst
inst/CITATION
NAMESPACE
R
R/nrmse.R
R/prodNA.R
R/missForest.R
R/varClass.R
R/mixError.R
README.md
MD5
DESCRIPTION
man
man/mixError.Rd
man/missForest-package.Rd
man/prodNA.Rd
man/varClass.Rd
man/nrmse.Rd
man/missForest.Rd
missForest documentation built on May 19, 2017, 7:50 a.m.

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