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TrioSGL

Trio Model with a Combination of Lasso and Group Lasso Regularization

Fit a trio model via penalized maximum likelihood. The model is fit for a path of values of the penalty parameter. This package is based on Noah Simon, et al. (2011) <doi:10.1080/10618600.2012.681250>.

Versions across snapshots

VersionRepositoryFileSize
1.1.0 rolling linux/jammy R-4.5 TrioSGL_1.1.0.tar.gz 25.4 KiB
1.1.0 rolling linux/noble R-4.5 TrioSGL_1.1.0.tar.gz 25.4 KiB
1.1.0 rolling source/ R- TrioSGL_1.1.0.tar.gz 6.8 KiB
1.1.0 latest linux/jammy R-4.5 TrioSGL_1.1.0.tar.gz 25.4 KiB
1.1.0 latest linux/noble R-4.5 TrioSGL_1.1.0.tar.gz 25.4 KiB
1.1.0 latest source/ R- TrioSGL_1.1.0.tar.gz 6.8 KiB
1.1.0 2026-04-26 source/ R- TrioSGL_1.1.0.tar.gz 6.8 KiB
1.1.0 2026-04-23 source/ R- TrioSGL_1.1.0.tar.gz 6.8 KiB
1.1.0 2026-04-09 windows/windows R-4.5 TrioSGL_1.1.0.zip 96.5 KiB
1.1.0 2025-04-20 source/ R- TrioSGL_1.1.0.tar.gz 6.8 KiB