Fitting possibly high dimensional penalized regression models. The penalty structure can be any combination of an L1 penalty (lasso and fused lasso), an L2 penalty (ridge) and a positivity constraint on the regression coefficients. The supported regression models are linear, logistic and Poisson regression and the Cox Proportional Hazards model. Cross-validation routines allow optimization of the tuning parameters.

Author | Jelle Goeman, Rosa Meijer, Nimisha Chaturvedi |

Date of publication | 2016-05-27 18:08:55 |

Maintainer | Jelle Goeman <j.j.goeman@lumc.nl> |

License | GPL (>= 2) |

Version | 0.9-47 |

**breslow:** Breslow estimator object

**contrasts:** Contrast functions for penalized regression

**cvl:** Cross-validated penalized regression

**nki70:** The 70 gene signature of the Netherlands Cancer Institute for...

**penalized:** Penalized regression

**penfit:** Penalized regression object

**plotpath:** Plotting the LASSO path

**predict:** Prediction based on penfit objects

penalized

penalized/inst

penalized/inst/CITATION

penalized/inst/doc

penalized/inst/doc/penalized.Rnw

penalized/inst/doc/penalized.pdf

penalized/inst/doc/penalized.R

penalized/NAMESPACE

penalized/data

penalized/data/nki70.RData

penalized/R

penalized/R/checkinput.R
penalized/R/cox.R
penalized/R/core.R
penalized/R/logit.R
penalized/R/contrasts.R
penalized/R/penfit.R
penalized/R/breslow.R
penalized/R/Brent.R
penalized/R/plotpath.R
penalized/R/linear.R
penalized/R/onattach.R
penalized/R/penalized.R
penalized/R/poisson.R
penalized/R/cvl.R
penalized/vignettes

penalized/vignettes/penalized.bib

penalized/vignettes/penalized.Rnw

penalized/MD5

penalized/build

penalized/build/vignette.rds

penalized/DESCRIPTION

penalized/ChangeLog

penalized/man

penalized/man/plotpath.Rd
penalized/man/penfit.Rd
penalized/man/breslow.Rd
penalized/man/predict.Rd
penalized/man/nki70.Rd
penalized/man/contrasts.Rd
penalized/man/penalized.Rd
penalized/man/cvl.Rd
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