joinet (0.0.3)

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Multivariate Elastic Net Regression.

Implements high-dimensional multivariate regression by stacked generalisation (Wolpert 1992 ). 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.

Maintainer: Armin Rauschenberger
Author(s): Armin Rauschenberger [aut, cre]

License: GPL-3

Uses: cornet, glmnet, palasso, MASS, testthat, knitr
Enhances: spls, MRCE, SiER

Released 5 months ago.

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