mvPred: Methods for Handling Missing Values in Linear Modeling

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>.

Version:	0.1.0
Depends:	R (≥ 4.0.0)
Imports:	regtools, mice, Amelia, missForest, toweranNA, stats, utils, qeML
Published:	2026-09-30
DOI:	10.32614/CRAN.package.mvPred
Author:	Norman Matloff [aut], Cynthia Mascarenhas [aut], Billy Ouattara [aut, cre], Alekya Veluri [aut]
Maintainer:	Billy Ouattara <ouattarabilly33 at hotmail.com>
BugReports:	https://github.com/matloff/mvPred/issues
License:	MIT + file LICENSE
URL:	https://github.com/matloff/mvPred
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	mvPred results

Documentation:

Reference manual:

mvPred.html , mvPred.pdf

Downloads:

Package source:	mvPred_0.1.0.tar.gz
Windows binaries:	r-devel: mvPred_0.1.0.zip, r-release: not available, r-oldrel: mvPred_0.1.0.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): mvPred_0.1.0.tgz, r-oldrel (x86_64): mvPred_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mvPred to link to this page.