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imputeR  

A General Multivariate Imputation Framework
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("imputeR", "2.2")



Attach the package and use:
library("imputeR")
Maintained by
Steffen Moritz
[Scholar Profile | Author Map]
First Published: 2014-05-14
Latest Update: 2020-01-20
Description:
Multivariate Expectation-Maximization (EM) based imputation framework that offers several different algorithms. These include regularisation methods like Lasso and Ridge regression, tree-based models and dimensionality reduction methods like PCA and PLS.
How to cite:
Steffen Moritz (2014). imputeR: A General Multivariate Imputation Framework. R package version 2.2, https://cran.r-project.org/web/packages/imputeR. Accessed 07 May. 2025.
Previous versions and publish date:
1.0.0 (2014-05-14 10:52), 2.0 (2017-03-09 08:22), 2.1 (2018-10-14 18:40)
Other packages that cited imputeR R package
View imputeR citation profile
Other R packages that imputeR depends, imports, suggests or enhances
Complete documentation for imputeR
Functions, R codes and Examples using the imputeR R package
Some associated functions: CubistR . Detect . Rmse . SimEval . SimIm . gbmC . glmboostR . guess . impute . imputeR-package . lassoC . lassoR . major . mixError . mixGuess . mr . orderbox . parkinson . pcrR . plotIm . plsR . ridgeC . ridgeR . rpartC . spect . stepBackC . stepBackR . stepBothC . stepBothR . stepForC . stepForR . tic . 
Some associated R codes: dataset.parkinson.R . dataset.spect.R . dataset.tic.R . funs.R . impute.R . imputeR-package.R . methods.R . mixError.R . mixGuess.R .  Full imputeR package functions and examples
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