Description: Implements high-dimensional multivariate regression by stacked generalisation (Wolpert 1992 <doi:10.1016/S0893-6080(05)80023-1>). 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.
Enhances: RColorBrewer, spls, SiER, MRCE
Packaged: 2019-08-02 12:55:53 UTC; armin.rauschenberger

Title: Multivariate Elastic Net Regression
Description: 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>).
Enhances: mice, earth, spls, MRCE, remMap, MultivariateRandomForest,
Packaged: 2021-08-09 06:09:20 UTC; armin.rauschenberger

Packaged: 2019-08-08 15:48:38 UTC; armin.rauschenberger

Packaged: 2019-11-13 15:10:49 UTC; armin.rauschenberger

Description: Implements high-dimensional multivariate regression by stacked generalisation (Wolpert 1992 <doi:10.1016/S0893-6080(05)80023-1>). 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 from GitHub (<https://github.com/cran/MRCE>).
Packaged: 2020-10-02 16:21:50 UTC; armin.rauschenberger

Packaged: 2020-11-18 09:19:56 UTC; armin.rauschenberger

Description: Implements high-dimensional multivariate regression by stacked generalisation (Wolpert 1992 <doi:10.1016/S0893-6080(05)80023-1>). 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>).
Packaged: 2021-03-09 07:48:58 UTC; armin.rauschenberger