Package: LMMsolver 1.0.13

Bart-Jan van Rossum

LMMsolver: Linear Mixed Models with Sparse Matrix Methods and Smoothing

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>.

Authors:Martin Boer [aut], Bart-Jan van Rossum [aut, cre]

LMMsolver_1.0.13.tar.gz
LMMsolver_1.0.13.zip(r-4.7)LMMsolver_1.0.13.zip(r-4.6)LMMsolver_1.0.13.zip(r-4.5)
LMMsolver_1.0.13.tgz(r-4.6-x86_64)LMMsolver_1.0.13.tgz(r-4.6-arm64)LMMsolver_1.0.13.tgz(r-4.5-x86_64)LMMsolver_1.0.13.tgz(r-4.5-arm64)
LMMsolver_1.0.13.tar.gz(r-4.7-arm64)LMMsolver_1.0.13.tar.gz(r-4.7-x86_64)LMMsolver_1.0.13.tar.gz(r-4.6-arm64)LMMsolver_1.0.13.tar.gz(r-4.6-x86_64)
LMMsolver_1.0.13.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LMMsolver/json (API)
NEWS

# Install 'LMMsolver' in R:
install.packages('LMMsolver', repos = c('https://biometris.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/biometris/lmmsolver/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

mixed-modelssplinescpp

8.93 score 18 stars 7 packages 97 scripts 690 downloads 14 exports 5 dependencies

Last updated from:5d278027b9. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK157
linux-devel-x86_64OK155
source / vignettesOK237
linux-release-arm64OK133
linux-release-x86_64OK159
macos-release-arm64OK114
macos-release-x86_64OK331
macos-oldrel-arm64OK93
macos-oldrel-x86_64OK255
windows-develOK135
windows-releaseOK128
windows-oldrelOK133
wasm-releaseOK140

Exports:as.ginversediagnosticsMMEdisplayMMEeffDimgetHeritabilityLMMsolveLMMsolveObjectmakeGridmLogLikmultinomialobtainSmoothTrendspl1Dspl2Dspl3D

Dependencies:dotCall64latticeMatrixRcppspam

Mixed Models and Smoothing

Rendered fromSolving_Linear_Mixed_Models.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2026-05-17
Started: 2021-09-28