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multilevelTools

0.2.1Package record

Multilevel and Mixed Effects Model Diagnostics and Effect Sizes

0packages depend
10.1Kdownloads / year
71.0%test coverage
13/13flavors OK

Overview

About

Effect sizes, diagnostics and performance metrics for multilevel and mixed effects models. Includes marginal and conditional 'R2' estimates for linear mixed effects models based on Johnson (2014) doi:10.1111/2041-210X.12225.

Changes in 0.2.1

Changes

  • Improved documentation links to functions in other packages.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 7.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.1
READMEYes · 58 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.1Citation fileNoWebsiteYes · pkgdown
Help pages
22 (2 internal)
Examples that run
95%19 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
89%
Help pages citing references
27%

Downloads

10.1K
CRAN downloads in the past year
Rank #4,454 · ~28/day · ~845/mo
Daily download trend is not available in this view yet.
61130 days
1.9K90 days
10.1K1 year
Compare downloads with other packages →
Also on116 r2u8 autocran60 c2d4u

Repository

5Stars
2Forks
2Open issues
0Open PRs
0Releases
43Commits
2Commit identities
43 commits · Last activity 2025-11-23 · 0% stars, 30d · Default branch at 0.2.2, ahead of CRAN 0.2.1 (checked 2026-10-11)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
11
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2024-10-16 · 32026-07-07 · 5
PracticesBeta

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

Checks run against github.com/jwiley/multileveltools on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2025-11-23 · The repository has a site deploy workflow

pkgdown site last built 2025-11-23

Coverage (1)
Coverage reporting (Codecov)
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing multilevelTools adds 157 packages (76 with compiled code, 141 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Suggests (3)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.1 (2020)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.1Latest
    record
    2025-09-08 · current release · diff ↗
  • 0.2.0
    record
    2025-04-13 · diff ↗ ·
    added 3 exports
    evaluateLags, ranefdata, weighted.sma
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.1
    record
    2020-03-04
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-03-04
Total releases
3 / 6 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Download size
1.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("multilevelTools")
Wiley, J. F. (2025). multilevelTools: Multilevel and Mixed Effects Model Diagnostics and Effect Sizes (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.multilevelTools

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 multilevelTools version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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