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mvPred
View on CRAN: Click
here
Download and install mvPred package within the R console
Install from CRAN:
install.packages("mvPred")
Install from Github:
library("remotes")
install_github("cran/mvPred") Install by package version:
library("remotes")
install_version("mvPred", "0.1.0") Attach the package and use:
library("mvPred")
Maintained by
Billy Ouattara
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First Published: 2026-09-30
Latest Update: 2026-09-30
Description:
Provides user-friendly methods for handling missing data in regression modeling, including available-case linear regression, multiple imputation, random-forest imputation, and the Tower method. Implemented approaches include chained-equation imputation described by van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>, multiple imputation described by Honaker, King and Blackwell (2011) <doi:10.18637/jss.v045.i07>, random-forest imputation described by Stekhoven and Buehlmann (2012) <doi:10.1093/bioinformatics/btr597>, and the Tower method described by Matloff and Mohanty (2023) <https://CRAN.R-project.org/package=toweranNA>.
How to cite:
Billy Ouattara (2026). mvPred: Methods for Handling Missing Values in Linear Modeling. R package version 0.1.0, https://cran.r-project.org/web/packages/mvPred. Accessed 24 Oct. 2026.
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