Skip to content

MLMusingR

0.4.0Package record

Practical Multilevel Modeling

0packages depend
3.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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).

Changes in 0.4.0
  • Added mixPV, lrtPV to allow for models using weights with the WeMix package.
  • Added the wscale function to scale weights ala Mplus.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 2 earlier changesHide 2 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.4.0
READMEYes · 36 wordsVignettesNoNEWSYes · 100% structured · mentions 0.4.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
29 (1 internal)
Examples that run
75%6 run in a plain check · 2 never run
Exported functions with examples
62%
Documented parameters
100%
Return-value docs
50%
Help pages citing references
14%

Downloads

3.9K
CRAN downloads in the past year
Rank #11,275 · ~11/day · ~321/mo
Daily download trend is not available in this view yet.
40630 days
94090 days
3.9K1 year
Compare downloads with other packages →
Also on84 r2u4 autocran

Repository

3Stars
0Forks
0Open issues
0Open PRs
0Releases
45Commits
1Commit identities
45 commits · Last activity 2025-10-27 · 0% stars, 30d · Default branch at 0.4.1, ahead of CRAN 0.4.0 (checked 2026-10-18)
Responsiveness
not measured

Stars over time

2022-02-21 · 22026-07-15 · 3
PracticesBeta

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

Checks run against github.com/flh3/mlmusingr on 2026-10-18.

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 v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing MLMusingR adds 37 packages (20 with compiled code, 34 MB of source tarballs). Heaviest: stringi 11 MB, lme4 4.1 MB, nloptr 2.1 MB.

Depends (1)
R >= 3.5
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2022)
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.4.0Latest
    record
    2025-01-09 · current release · diff ↗ ·
    added 5 exports
    lrtPV, mixPV, pool_pv, summary_all, wscale
  • R
    R 4.4.0 released · 2024-04-24
  • 0.3.2
    record
    2024-01-27 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.3.0
    record
    2023-01-11 · diff ↗ ·
    added 1 export
    %>%
  • 0.2.0
    record
    2022-05-10 · diff ↗ ·
    added 2 exports
    MatSqrtInverse, satdf
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0
    record
    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

Cite

Cite this package

Run in R for the authors' preferred citation:

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

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MLMusingR version 0.4.0 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy