summary.glmpath {glmpath} | R Documentation |
This function produces an anova-type summary for a glmpath object.
summary.glmpath(object, ...)
object |
a glmpath object
|
... |
additional arguments |
An anova type of summary is returned, including Df, Deviance, AIC, and BIC values for the steps where the active set changed.
A data.frame is returned, with the following components at transition points:
Df |
degrees of freedom at each step |
Deviance |
deviance computed at each step |
AIC |
AIC value at each step |
BIC |
BIC value at each step |
Mee Young Park and Trevor Hastie
Mee Young Park and Trevor Hastie (2007) L1 regularization path algorithm for generalized linear models. J. R. Statist. Soc. B, 69, 659-677.
glmpath, plot.glmpath, print.glmpath
data(heart.data) attach(heart.data) fit <- glmpath(x, y) summary(fit) detach(heart.data)