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 (may not be active yet) |
| 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:
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