TrioSGL-package: Trio Model with a Combination of Lasso and Group Lasso...
In TrioSGL: Trio Model with a Combination of Lasso and Group Lasso Regularization
Description
Details
Author(s)
References
Description
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>.
Details
Package: TrioSGL
Type: Package
Version: 1.1.0
Date: 2017-12-18
License: GPL
LazyLoad: yes
Only 1 function:
TrioSGL
Author(s)
Timo Stöcker, Noah Simon, Jerome Friedman, Trevor Hastie, and Rob Tibshirani
Maintainer: Timo Stöcker <timo.stoecker@hhu.de>
References
Simon, N., Friedman, J., Hastie, T., Tibshirani, R. (2011). A Sparse-Group Lasso. Journal of Computational and Graphical Statistics, 22, 231-245.
TrioSGL documentation built on May 2, 2019, 1:12 p.m.
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Description Details Author(s) References
Description
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>.
Details
| Package: | TrioSGL |
| Type: | Package |
| Version: | 1.1.0 |
| Date: | 2017-12-18 |
| License: | GPL |
| LazyLoad: | yes |
Only 1 function:
TrioSGL
Author(s)
Timo Stöcker, Noah Simon, Jerome Friedman, Trevor Hastie, and Rob Tibshirani
Maintainer: Timo Stöcker <timo.stoecker@hhu.de>
References
Simon, N., Friedman, J., Hastie, T., Tibshirani, R. (2011). A Sparse-Group Lasso. Journal of Computational and Graphical Statistics, 22, 231-245.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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