Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 7 of 7 found.
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Plotting the LASSO path (Package: penalized) : Plotting the LASSO path

Plotting a LASSO path fitted using penalized with steps > 1.
● Data Source: CranContrib
● Keywords: multivariate, regression
● Alias: plotpath
● 0 images

penfit object (Package: penalized) : Penalized regression object

Stores the result of a call to penalized.
● Data Source: CranContrib
● Keywords: multivariate, regression
● Alias: penfit, penfit-class
● 0 images

breslow object (Package: penalized) : Breslow estimator object

Stores one or more survival stepfunctions of the Kaplan-Meier and Breslow type.
● Data Source: CranContrib
● Keywords: survival
● Alias: breslow, breslow-class
● 0 images

Prediction from penalized models (Package: penalized) : Prediction based on penfit objects

Predicting a response for new subjects based on a fitted penalized regression model.
● Data Source: CranContrib
● Keywords: multivariate, regression
● Alias: predict, predict,penfit-method
● 0 images

Penalized regression contrasts (Package: penalized) : Contrast functions for penalized regression

Contrast functions for factors that are appropriate for penalized regression.
● Data Source: CranContrib
● Keywords: regression
● Alias: contr.diff, contr.none
● 0 images

Penalized generalized linear models (Package: penalized) : Penalized regression

Fitting generalized linear models with L1 (lasso and fused lasso) and/or L2 (ridge) penalties, or a combination of the two.
● Data Source: CranContrib
● Keywords: multivariate, regression
● Alias: penalized
● 0 images

Cross-validation in penalized generalized linear models (Package: penalized) : Cross-validated penalized regression

Cross-validating generalized linear models with L1 (lasso or fused lasso) and/or L2 (ridge) penalties, using likelihood cross-validation.
● Data Source: CranContrib
● Keywords: multivariate, regression
● Alias: cvl, optL1, optL2, profL1, profL2
● 0 images