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.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_0.0.10.zip, r-release: joinet_1.0.0.zip, r-oldrel: joinet_0.0.10.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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