joinet: Multivariate Elastic Net Regression

Implements high-dimensional multivariate regression by stacked generalisation (Rauschenberger 2021 <doi:10.1093/bioinformatics/btab576>). For positively correlated outcomes, a single multivariate regression is typically more predictive than multiple univariate regressions. Includes functions for model fitting, extracting coefficients, outcome prediction, and performance measurement. If required, install MRCE or remMap from GitHub (<>, <>).

Package details

AuthorArmin Rauschenberger [aut, cre]
MaintainerArmin Rauschenberger <>
Package repositoryView on CRAN
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joinet documentation built on Aug. 9, 2021, 9:13 a.m.