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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>).

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 joinet_1.0.0.tar.gz 106.2 KiB
1.0.0 rolling linux/noble R-4.5 joinet_1.0.0.tar.gz 106.2 KiB
1.0.0 rolling source/ R- joinet_1.0.0.tar.gz 64.4 KiB
1.0.0 latest linux/jammy R-4.5 joinet_1.0.0.tar.gz 106.2 KiB
1.0.0 latest linux/noble R-4.5 joinet_1.0.0.tar.gz 106.2 KiB
1.0.0 latest source/ R- joinet_1.0.0.tar.gz 64.4 KiB
1.0.0 2026-04-26 source/ R- joinet_1.0.0.tar.gz 64.4 KiB
1.0.0 2026-04-23 source/ R- joinet_1.0.0.tar.gz 64.4 KiB
1.0.0 2026-04-09 windows/windows R-4.5 joinet_1.0.0.zip 115.2 KiB
1.0.0 2025-04-20 source/ R- joinet_1.0.0.tar.gz 64.4 KiB

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