splmm: Simultaneous Penalized Linear Mixed Effects Models

Contains functions that fit linear mixed-effects models for high-dimensional data (p>>n) with penalty for both the fixed effects and random effects for variable selection. The details of the algorithm can be found in Luoying Yang PhD thesis (Yang and Wu 2020). The algorithm implementation is based on the R package 'lmmlasso'. Reference: Yang L, Wu TT (2020). Model-Based Clustering of Longitudinal Data in High-Dimensionality. Unpublished thesis.

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.1), emulator, miscTools, penalized, ggplot2, gridExtra, plot3D, MASS, progress, methods
LinkingTo: Rcpp, RcppArmadillo
Published: 2024-06-13
DOI: 10.32614/CRAN.package.splmm
Author: Luoying Yang [aut], Eli Sun [aut, cre], Tong Tong Wu [aut]
Maintainer: Eli Sun <eli_sun at urmc.rochester.edu>
License: GPL-3
NeedsCompilation: yes
In views: MixedModels
CRAN checks: splmm results


Reference manual: splmm.pdf


Package source: splmm_1.2.0.tar.gz
Windows binaries: r-devel: splmm_1.2.0.zip, r-release: splmm_1.2.0.zip, r-oldrel: splmm_1.2.0.zip
macOS binaries: r-release (arm64): splmm_1.2.0.tgz, r-oldrel (arm64): splmm_1.2.0.tgz, r-release (x86_64): splmm_1.2.0.tgz, r-oldrel (x86_64): splmm_1.2.0.tgz
Old sources: splmm archive


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