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LMMsolver

1.0.13

Linear Mixed Models with Sparse Matrix Methods and Smoothing

4packages depend
13.8Kdownloads / year
95.4%test coverage
13/13checks pass

Overview

About
Maintained by Bart-Jan van RossumFirst published 2021-11-0214 releasesCRAN page ↗GitHub ↗

Provides tools for fitting linear mixed models using sparse matrix methods and variance component estimation. Applications include spline-based modeling of spatial and temporal trends using penalized splines (Boer, 2023) doi:10.1177/1471082X231178591.

Install

Health

CRAN checks
13OK
Slowest check: 4.2 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.00
95.4%
Coverage · measured lines
100%
Documentation · exports
5
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
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 319 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
93%
Documented parameters
94%
Return-value docs
100%
References docs
26%

Downloads

13.8K
CRAN downloads in the past year
Rank #3,717 · ~38/day · ~1.2K/mo
Daily download trend is not available in this view yet.
61330 days
2.5K90 days
13.8K1 year
Compare downloads with other packages →
Also on913 r2u23 autocran55 c2d4u

Repository

Repository
18Stars
2Forks
0Open issues
0Open PRs
4Releases
1,134Commits
3Contributors
cranmixed-modelssplinesr-package
1,134 commits · Last activity 2026-08-12 · 0% stars, 30d

Stars over time

2025-07-20 · 162026-07-07 · 18

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/biometris/lmmsolver on 2026-08-16.

Continuous integration (2)
GitHub ActionsGitLab CI
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6
Imports (5)
MatrixmethodsRcppspamsplines
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
4direct
2indirect

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

14 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.0.13Latest
    2026-05-29 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.12
    2025-12-05 · diff ↗
  • 1.0.11
    2025-08-20 · diff ↗
  • 1.0.10
    2025-05-14 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.9
    2025-01-14 · diff ↗
  • 1.0.8
    2024-08-26 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.7
    2024-04-16 · diff ↗
  • 1.0.6
    2023-11-27 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.5
    2023-04-14 · diff ↗
  • 1.0.4
    2022-12-15 · diff ↗
  • 1.0.3
    2022-08-19 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
Show 4 earlier events
  • 1.0.2
    2022-04-21 · diff ↗
  • 1.0.1
    2022-03-28 · diff ↗
  • 1.0.0
    2021-11-02
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-11-02
Total releases
14 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.6
Bundled data
126 KB / 5 files
Download size
7.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LMMsolver")
van Rossum, B., & Boer, M. (2026). LMMsolver: Linear Mixed Models with Sparse Matrix Methods and Smoothing (Version 1.0.13) [Computer software]. https://doi.org/10.32614/CRAN.package.LMMsolver

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LMMsolver version 1.0.13 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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