R Observatory: Metrics for LearnVizLMM version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LearnVizLMM

1.0.0Package record

Learning and Communicating Linear Mixed Models Without Data

0packages depend

2.2Kdownloads / year

61.4%test coverage

13/13flavors OK

Overview

About

Maintained by Katherine ZavezCRAN page ↗GitHub ↗Issues ↗

Summarizes characteristics of linear mixed effects models without data or a fitted model by converting code for fitting lmer() from 'lme4' and lme() from 'nlme' into tables, equations, and visuals. Outputs can be used to learn how to fit linear mixed effects models in 'R' and to communicate about these models in presentations, manuscripts, and analysis plans.

Changes in 1.0.0

Added a NEWS.md file to track changes to the package.

From NEWS.md in the release

Install

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

install.packages("LearnVizLMM", 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("kzavez/LearnVizLMM")

Development version from kzavez/LearnVizLMM. 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-learnvizlmm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-LearnVizLMM

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-LearnVizLMM

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: 1.4 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

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 94 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.0.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 3
Examples that run: 100%3 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Introduction to LearnVizLMM

How these are measured

Downloads

2.2K

CRAN downloads in the past year

Rank #19,794 · ~6/day · ~186/mo

Releases R versions

Daily download trend is not available in this view yet.

27630 days

67290 days

2.2K1 year

Compare downloads with other packages →

Also on66 r2u2 autocran

How downloads are counted

Repository

kzavez/learnvizlmm ↗Account: kzavez

1Stars

0Forks

2Open issues

0Open PRs

0Releases

8Commits

1Commit identities

License file reads as GPL-3.0 · 8 commits · Last activity 2024-10-09

Responsiveness

not measured

Stars over time

2025-07-12 · 12026-07-07 · 1

How these are measured

PracticesBeta

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

Checks run against github.com/kzavez/learnvizlmm on 2026-10-21.

Docs source (1)

README.Rmd

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing LearnVizLMM adds 66 packages (35 with compiled code, 54 MB of source tarballs). Heaviest: stringi 11 MB, bslib 5.6 MB, igraph 4.8 MB.

Depends (0)

none

Imports (6)

cli DiagrammeR DiagrammeRsvg dplyr rsvg stringr

LinkingTo (0)

none

Suggests (4)

kableExtra knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Katherine Zavez

Author, Maintainer since 1.0.0 (2024)

Ofer Harel

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.0.0Latest
record
2024-09-25 · current release
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-09-25
Total releases: 1 / 2 yrs
License: GPL (>= 3) OSI
Download size: 619 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LearnVizLMM")

Format

Zavez, K., & Harel, O. (2024). LearnVizLMM: Learning and Communicating Linear Mixed Models Without Data (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.LearnVizLMM

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 LearnVizLMM version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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