R Observatory: Metrics for lmmprobe version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

lmmprobe

0.1.0

Sparse High-Dimensional Linear Mixed Modeling with a Partitioned Empirical Bayes ECM Algorithm

0packages depend

1.3Kdownloads / year

65.5%test coverage

11/13checks pass

Overview

About

Maintained by Anja ZgodicFirst published 2026-03-121 releasesCRAN page ↗GitHub ↗

Implements a partitioned Empirical Bayes Expectation Conditional Maximization (ECM) algorithm for sparse high-dimensional linear mixed modeling as described in Zgodic, Bai, Zhang, and McLain (2025) doi:10.1007/s11222-025-10649-z. The package provides efficient estimation and inference for mixed models with high-dimensional fixed effects.

Install

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

install.packages("lmmprobe", 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("anjazgodic/lmmprobe")

Development version from anjazgodic/lmmprobe. 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-lmmprobe

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-lmmprobe

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-lmmprobe

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

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 5.3 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.04

65.5%

Coverage · measured lines

100%

Documentation · exports

3

Dependencies · direct

Check history

NOTE2026-07-11
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-14
8 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 1 earlier snapshots

OK2026-03-13
2 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 53 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: not tracked
Return-value docs: 100%
References docs: 33%

Downloads

1.3K

CRAN downloads in the past year

Rank #21,308 · ~3/day · ~106/mo

Releases R versions

Daily download trend is not available in this view yet.

15730 days

53590 days

1.3K1 year

Compare downloads with other packages →

Also on180 r2u29 autocran

Repository

GitHub ↗ anjazgodic/lmmprobe

1Stars

1Forks

0Open issues

0Open PRs

0Releases

33Commits

2Contributors

33 commits · Last activity 2026-03-10

Stars over time

2025-01-29 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/anjazgodic/lmmprobe on 2026-08-23.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

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

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2026-02-18

claude

Most recent: claude on 2026-02-18

Evidence

claude: on 2026-02-18 · evidence B, D

How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (3)

Rcpp lme4 future.apply

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (4)

testthat knitr rmarkdownMASS

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (5)

Maintainer (1)

Anja Zgodic

Author, Maintainer

Authors (5)

Author, Maintainer

Author

Author

Author

Author

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
2026-03-12 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-12
Total releases: 1 / 1 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 1.1 MB / 2 files
Download size: 1.1 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lmmprobe")

Format

Zgodic, A., Bai, R., McLain, A., Olejua, P., & Zhang, J. (2026). lmmprobe: Sparse High-Dimensional Linear Mixed Modeling with a Partitioned Empirical Bayes ECM Algorithm (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.lmmprobe

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 lmmprobe version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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