Package: joinet 0.0.10

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 (<https://github.com/cran/MRCE>, <https://github.com/cran/remMap>).

Authors:Armin Rauschenberger [aut, cre]

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NEWS

Peer review:

Bug tracker:https://github.com/rauschenberger/joinet/issues

On CRAN:

2 exports 4 stars 1.27 score 12 dependencies 1 dependents 9 scripts 333 downloads

Last updated 3 years agofrom:c5a9b5f993. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:cv.joinetjoinet

Dependencies:codetoolscornetforeachglmnetiteratorslatticeMatrixpalassoRcppRcppEigenshapesurvival