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 Unpublished thesis.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: 2024-06-12 20:17:10 UTC; elisunorig
Depends: R (>= 3.5.0)
Author: Luoying Yang [aut],
  Eli Sun [aut, cre],
  Tong Tong Wu [aut]
Repository: CRAN
Date/Publication: 2024-06-13 09:40:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 21:38:51 UTC; unix
Archs: splmm.so.dSYM
