joinet: Penalised Multivariate Regression ('Multi-Target Learning')
Implements penalised multivariate regression (i.e., for multiple outcomes and many features) by stacked generalisation (<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. For optional comparisons, install 'remMap' from GitHub (<https://github.com/cran/remMap>).
| Version: | 1.0.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | glmnet,palasso,cornet |
| Suggests: | knitr,rmarkdown,testthat,MASS,mice,earth,spls,MRCE, remMap,MultivariateRandomForest,SiER,mcen,GPM,RMTL,MTPS |
| Published: | 2024-09-27 |
| DOI: | 10.32614/CRAN.package.joinet |
| Author: | Armin Rauschenberger [aut, cre] |
| Maintainer: | Armin Rauschenberger <armin.rauschenberger at uni.lu> |
| BugReports: | https://github.com/rauschenberger/joinet/issues |
| License: | GPL-3 |
| URL: | https://github.com/rauschenberger/joinet,https://rauschenberger.github.io/joinet/ |
| NeedsCompilation: | no |
| Citation: | joinet citation info |
| Materials: | README,NEWS |
| In views: | MachineLearning |
| CRAN checks: | joinet results |
Documentation:
| Reference manual: | joinet.html ,joinet.pdf |
| Vignettes: | article (source) analysis (source,R code) vignette (source,R code) |
Downloads:
| Package source: | joinet_1.0.0.tar.gz |
| Windows binaries: | r-devel:joinet_1.0.0.zip, r-release:joinet_1.0.0.zip, r-oldrel:joinet_1.0.0.zip |
| macOS binaries: | r-release (arm64):joinet_1.0.0.tgz, r-oldrel (arm64):joinet_1.0.0.tgz, r-release (x86_64):joinet_1.0.0.tgz, r-oldrel (x86_64):joinet_1.0.0.tgz |
| Old sources: | joinet archive |
Reverse dependencies:
| Reverse imports: | transreg |
Linking:
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