Package: mvPred
Type: Package
Title: Methods for Handling Missing Values in Linear Modeling
Version: 0.1.0
Authors@R: c(
    person("Norman", "Matloff", email = "nsmatloff@ucdavis.edu", role = "aut"),
    person("Cynthia", "Mascarenhas", email = "cin22jan@gmail.com", role = "aut"),
    person("Billy", "Ouattara", email = "ouattarabilly33@hotmail.com", role = c("aut", "cre")),
    person("Alekya", "Veluri", email = "alekyaveluri@gmail.com", role = "aut"))
Maintainer: Billy Ouattara <ouattarabilly33@hotmail.com>
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>.
Depends: R (>= 4.0.0)
Imports: regtools, mice, Amelia, missForest, toweranNA, stats, utils,
        qeML
License: MIT + file LICENSE
URL: https://github.com/matloff/mvPred
BugReports: https://github.com/matloff/mvPred/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Config/pak/sysreqs: cmake libgmp3-dev make libicu-dev libuv1-dev
        libxml2-dev libx11-dev zlib1g-dev
Repository: https://matloff.r-universe.dev
Date/Publication: 2026-09-20 20:20:49 UTC
RemoteUrl: https://github.com/matloff/mvpred
RemoteRef: HEAD
RemoteSha: 5021b9ac2170d64f75692363f35a32d7871c004e
NeedsCompilation: no
Packaged: 2026-10-01 22:48:46 UTC; root
Author: Norman Matloff [aut],
  Cynthia Mascarenhas [aut],
  Billy Ouattara [aut, cre],
  Alekya Veluri [aut]