knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

emlmm

R package for fitting penalised linear mixed-effect models via EM-type algorithms. This repository is associated with the paper Cappozzo, Ieva, Fiorito (2023) A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation https://projecteuclid.org/journals/annals-of-applied-statistics/volume-17/issue-4/A-general-framework-for-penalized-mixed-effects-multitask-learning-with/10.1214/23-AOAS1760.short

Installation

You can install the development version of emlmm from GitHub with:

# install.packages("remotes")
remotes::install_github("AndreaCappozzo/emlmm")


AndreaCappozzo/emlmm documentation built on Jan. 10, 2025, 11:19 p.m.