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splmm  

Simultaneous Penalized Linear Mixed Effects Models
View on CRAN: Click here


Download and install splmm package within the R console
Install from CRAN:
install.packages("splmm")

Install from Github:
library("remotes")
install_github("cran/splmm")

Install by package version:
library("remotes")
install_version("splmm", "1.2.0")



Attach the package and use:
library("splmm")
Maintained by
Eli Sun
[Scholar Profile | Author Map]
First Published: 2020-09-21
Latest Update: 2021-09-08
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 Unpublished thesis.
How to cite:
Eli Sun (2020). splmm: Simultaneous Penalized Linear Mixed Effects Models. R package version 1.2.0, https://cran.r-project.org/web/packages/splmm. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0 (2020-09-21 10:40), 1.1.1 (2020-10-05 22:10), 1.1.2 (2020-11-22 01:00), 1.1.3 (2021-09-08 12:00), 1.1 (2020-09-21 23:20)
Other packages that cited splmm R package
View splmm citation profile
Other R packages that splmm depends, imports, suggests or enhances
Complete documentation for splmm
Functions, R codes and Examples using the splmm R package
Some associated functions: cognitive . plot.splmm . plot3D.splmm . print.splmm . simulated_data . splmm-package . splmm . splmmControl . splmmTuning . summary.splmm . 
Some associated R codes: RcppExports.R . helpers.R . methods.R . splmm.R . splmmControl.R . splmmTuning.R .  Full splmm package functions and examples
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