Package: plmmr 4.3.0

Patrick J. Breheny

plmmr: Penalized Linear Mixed Models for Correlated Data

Fits penalized linear mixed models that correct for unobserved confounding factors. 'plmmr' infers and corrects for the presence of unobserved confounding effects such as population stratification and environmental heterogeneity. It then fits a linear model via penalized maximum likelihood. Originally designed for the multivariate analysis of single nucleotide polymorphisms (SNPs) measured in a genome-wide association study (GWAS), 'plmmr' eliminates the need for subpopulation-specific analyses and post-analysis p-value adjustments. Functions for the appropriate processing of 'PLINK' files are also supplied. For examples, see the package homepage <https://pbreheny.github.io/plmmr/>.

Authors:Tabitha K. Peter [aut], Anna C. Reisetter [aut], Yujing Lu [aut], Oscar A. Rysavy [aut], Patrick J. Breheny [aut, cre]

plmmr_4.3.0.tar.gz
plmmr_4.3.0.tar.gz(r-4.7-arm64)plmmr_4.3.0.tar.gz(r-4.7-x86_64)plmmr_4.3.0.tar.gz(r-4.6-arm64)plmmr_4.3.0.tar.gz(r-4.6-x86_64)
plmmr_4.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
plmmr/json (API)
NEWS

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

Bug tracker:https://github.com/pbreheny/plmmr/issues

Pkgdown/docs site:https://pbreheny.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • admix - Admix: Semi-simulated SNP data

On CRAN:

Conda:

cppopenmp

3.18 score 10 scripts 189 downloads 9 exports 19 dependencies

Last updated from:bfee69eed3. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK230
linux-devel-x86_64OK221
source / vignettesOK409
linux-release-arm64OK229
linux-release-x86_64OK218
wasm-releaseOK162

Exports:create_designcv_plmmfind_example_dataplmmplmm_lossprocess_delimprocess_plinkrelatedness_matunzip_example_data

Dependencies:BHbigalgebrabiglassobigmemorybigmemory.sricodetoolsdata.tableforeachglmnetiteratorslatticeMatrixncvregRcppRcppArmadilloRcppEigenshapesurvivaluuid

Getting started with plmmr

Tabitha Peter

Rendered fromgetting-started.Rmdusingknitr::rmarkdownon Jun 11 2026.

Last update: 2026-06-11
Started: 2024-10-11