Package: splmm
Type: Package
Title: Simultaneous Penalized Linear Mixed Effects Models
Version: 1.2.0
Date: 2024-06-12
Authors@R: c(person(given = "Luoying", family = "Yang",
		  	 role = c("aut"),
		   	 email = "lyang19@u.rochester.edu"),
		   	 person(given = "Eli", family = "Sun",
		   	 role = c("aut", "cre"),
		   	 email = "eli_sun@urmc.rochester.edu"),
		   	 person(given = "Tong Tong", family = "Wu",
		   	 role = c("aut"),
		   	 email = "tongtong_wu@urmc.rochester.edu"))
Maintainer: Eli Sun <eli_sun@urmc.rochester.edu>
Description: 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 Unpublished thesis.
License: GPL-3
Imports: Rcpp (>= 1.0.1), emulator, miscTools, penalized, ggplot2,
        gridExtra, plot3D, MASS, progress, methods
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-06-12 07:13:07 UTC; root
Depends: R (>= 3.5.0)
Author: Luoying Yang [aut], Eli Sun [aut, cre], Tong Tong Wu [aut]
Repository: https://esunroc.r-universe.dev
Date/Publication: 2024-06-14 02:44:20 UTC
RemoteUrl: https://github.com/cran/splmm
RemoteRef: HEAD
RemoteSha: 7d91b0f8175b3029d7e75e086da9027d72c3e33b