R Observatory: Metrics for multilevelmod version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

multilevelmod

1.0.0

Model Wrappers for Multi-Level Models

1packages depend

6.5Kdownloads / year

72.2%test coverage

13/13checks pass

Overview

About

Maintained by Hannah FrickFirst published 2022-03-113 releasesCRAN page ↗GitHub ↗

Bindings for hierarchical regression models for use with the 'parsnip' package. Models include longitudinal generalized linear models (Liang and Zeger, 1986) doi:10.1093/biomet/73.1.13, and mixed-effect models (Pinheiro and Bates) doi:10.1007/978-1-4419-0318-1_1.

Install

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

install.packages("multilevelmod", 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("tidymodels/multilevelmod")

Development version from tidymodels/multilevelmod. 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-multilevelmod

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-multilevelmod

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-multilevelmod

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

Health

CRAN checks

13OK

Slowest check: 2.8 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.57

72.2%

Coverage · measured lines

100%

Documentation · exports

7

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 · 333 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

6.5K

CRAN downloads in the past year

Rank #7,085 · ~18/day · ~545/mo

Releases R versions

Daily download trend is not available in this view yet.

35230 days

1.2K90 days

6.5K1 year

Compare downloads with other packages →

Also on142 r2u19 autocran611 conda_forge39 c2d4u

Repository

GitHub ↗ tidymodels/multilevelmod

74Stars

6Forks

21Open issues

1Open PRs

3Releases

154Commits

7Contributors

154 commits · Last activity 2026-04-14 · 0% stars, 30d

Stars over time

2024-06-12 · 732026-07-07 · 74

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/tidymodels/multilevelmod on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (3)

AirVS CodeRStudio project

Show all practices

Coverage (1)

Codecov

Governance and community (2)

Issue templatesSupport guide

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

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Depends (2)

R >= 2.10parsnip

Imports (6)

dplyr lme4 purrr rlang tibble withr

LinkingTo (0)

none

Suggests (9)

covr gee ggplot2 knitrnlmermarkdown spelling testthat tidymodels

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

tidyAML

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Hannah Frick

Author, Maintainer · added in 0.2.0

Authors (2)

Hannah Frick

Author, Maintainer · added in 0.2.0

Max Kuhn

Author

Copyright holders (1)

RStudio

Copyright holder, Funder

Funders (1)

RStudio

Copyright holder, Funder

Package Timeline

3 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
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.0.0Latest
2022-06-17 · current release · diff ↗
0.2.0
2022-05-04 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1.0
2022-03-11
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-03-11
Total releases: 3 / 4 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.10
Bundled data: 14 KB / 3 files
Download size: 159 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Mixed, Multilevel, and Hierarchical Models in R

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("multilevelmod")

Format

Frick, H., RStudio, & Kuhn, M. (2022). multilevelmod: Model Wrappers for Multi-Level Models (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.multilevelmod

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 multilevelmod version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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