imputeMissings: Impute Missing Values in a Predictive Context
Version 0.0.3

Compute missing values on a training data set and impute them on a new data set. Current available options are median/mode and random forest.

AuthorMatthijs Meire, Michel Ballings, Dirk Van den Poel
Date of publication2016-09-06 10:04:45
MaintainerMatthijs Meire <Matthijs.Meire@ugent.be>
LicenseGPL (>= 2)
Version0.0.3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("imputeMissings")

Popular man pages

compute: Compute the missing values to later impute them in another...
impute: Impute missing values with the median/mode or 'randomForest'
See all...

All man pages Function index File listing

Man pages

compute: Compute the missing values to later impute them in another...
impute: Impute missing values with the median/mode or 'randomForest'

Functions

Files

inst
inst/NEWS
NAMESPACE
R
R/compute.R
R/impute.R
MD5
DESCRIPTION
man
man/compute.Rd
man/impute.Rd
imputeMissings documentation built on May 19, 2017, 4:10 p.m.

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