junyangq/multiSnpnet: Fit a sparse reduced rank regression model on large-scale SNP data and multivariate responses

Fit a sparse reduced rank regression model on large-scale SNP data and multivariate responses with batch variable screening and alternating minimization. It computes a full solution path on a grid of penalty values. Can deal with larger-than-memory SNP data.

Getting started

Package details

Maintainer
LicenseGPL-2
Version1.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("junyangq/multiSnpnet")
junyangq/multiSnpnet documentation built on Oct. 19, 2023, 8:22 p.m.