R Observatory: Metrics for mvPred version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mvPred

0.1.0Package record

Methods for Handling Missing Values in Linear Modeling

0packages depend

441downloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Billy OuattaraCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 0.1.0

Initial release of mvPred.
Provides methods for handling missing data in linear modeling.
Includes complete-case, available-case, PREFILL, and TOWER-based approaches.
Supports multiple imputation with mice, Amelia, and missForest through the PREFILL method.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Fedora (COPR)openSUSE (OBS)

install.packages("mvPred", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("matloff/mvPred")

Development version from matloff/mvPred. Installs pak first if it is not already available.

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-mvPred

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-mvPred

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OKNow
OK5 OK2026-10-01

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 222 wordsVignettesNoNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION

Description cites a JSS article

Help pages: 8
Examples that run: 100%8 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

441

CRAN downloads in the past year

Rank #24,887 · ~1/day · ~37/mo

mvPred Releases R versions

Daily download trend is not available in this view yet.

44130 days

44190 days

4411 year

Compare downloads with other packages →

How downloads are counted

Repository

matloff/mvpred ↗Account: matloff

0Stars

1Forks

0Open issues

0Open PRs

0Releases

96Commits

4Commit identities

96 commits · Last activity 2026-09-20

Responsiveness

not measured

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/matloff/mvpred on 2026-10-18.

CRAN release process (1)

cran-comments.md

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing mvPred adds 146 packages (79 with compiled code, 124 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)

R >= 4.0.0

Imports (8)

regtools mice Amelia missForest toweranNAstatsutilsqeML

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (4)

Billy Ouattara

Author, Maintainer since 0.1.0 (2026)

Cynthia Mascarenhas

Author

Norman Matloff

Author

Alekya Veluri

Author

Releases (1)

0.1.0Latest
record
2026-09-30 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-09-30
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.0.0
Bundled data: 59 KB / 3 files
Download size: 73 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mvPred")

Format

Ouattara, B., Mascarenhas, C., Matloff, N., & Veluri, A. (2026). mvPred: Methods for Handling Missing Values in Linear Modeling (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.mvPred

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mvPred version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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