Package: joinet
Version: 0.0.1
Title: Multivariate Regression
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.
Depends: R (>= 3.0.0)
Imports: glmnet, palasso, cornet
Suggests: knitr, testthat, MASS
Enhances: RColorBrewer, spls, SiER, MRCE
Authors@R: person("Armin","Rauschenberger",email="a.rauschenberger@vumc.nl",role=c("aut","cre"))
VignetteBuilder: knitr
License: GPL-3
LazyData: true
Language: en-GB
RoxygenNote: 6.1.1
URL: https://github.com/rauschenberger/mixnet
BugReports: https://github.com/rauschenberger/mixnet/issues
NeedsCompilation: no
Packaged: 2019-08-02 12:55:53 UTC; armin.rauschenberger
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <a.rauschenberger@vumc.nl>
Repository: CRAN
Date/Publication: 2019-08-03 06:50:02 UTC
