R Observatory: Metrics for MLMusingR version 0.4.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MLMusingR

0.4.0

Practical Multilevel Modeling

0packages depend

3.7Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Francis HuangFirst published 2022-01-115 releasesCRAN page ↗GitHub ↗

Convenience functions and datasets to be used with Practical Multilevel Modeling using R. The package includes functions for calculating group means, group mean centered variables, and displaying some basic missing data information. A function for computing robust standard errors for linear mixed models based on Liang and Zeger (1986) doi:10.1093/biomet/73.1.13 and Bell and 'McCaffrey' (2002) https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("MLMusingR", 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("flh3/MLMusingR")

Development version from flh3/MLMusingR. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-mlmusingr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# 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-MLMusingR

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-MLMusingR

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.3 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

92%

Documentation · exports

12

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 36 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 75%
Documented parameters: 100%
Return-value docs: 50%
References docs: 14%

Downloads

3.7K

CRAN downloads in the past year

Rank #11,961 · ~10/day · ~312/mo

Releases R versions

Daily download trend is not available in this view yet.

21930 days

83790 days

3.7K1 year

Compare downloads with other packages →

Also on125 r2u13 autocran

Repository

GitHub ↗ flh3/mlmusingr

3Stars

0Forks

0Open issues

0Open PRs

0Releases

45Commits

1Contributors

45 commits · Last activity 2025-10-27 · 0% stars, 30d

Stars over time

2022-02-21 · 22026-07-15 · 3

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/flh3/mlmusingr on 2026-08-09.

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (12)

lme4statsnlmeMatrixmethodsmagrittr broom generics dplyr performance tibble WeMix

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Francis Huang

Author, Maintainer

Authors (1)

Francis Huang

Author, Maintainer

Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.4.0Latest
2025-01-09 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
0.3.2
2024-01-27 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.3.0
2023-01-11 · diff ↗
0.2.0
2022-05-10 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1.0
2022-01-11
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-01-11
Total releases: 5 / 4 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.5
Bundled data: 849 KB / 12 files
Download size: 874 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MLMusingR")

Format

Huang, F. (2025). MLMusingR: Practical Multilevel Modeling (Version 0.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.MLMusingR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 MLMusingR version 0.4.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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