gamsel-package: Fit Regularization Path for Generalized Additive Models
In gamsel: Fit Regularization Path for Generalized Additive Models
Description
Using overlap grouped lasso penalties, gamsel selects whether a
term in a gam is nonzero, linear, or a non-linear spline (up to a
specified max df per variable). It fits the entire regularization
path on a grid of values for the overall penalty lambda, both for
gaussian and binomial families. Key functions are gamsel,
predict.gamsel, plot.gamsel, print.gamsel, summary.gamsel,
cv.gamsel, plot.cv.gamsel
Author(s)
Alexandra Chouldechova, Trevor Hastie Maintainer: Trevor Hastie
hastie@stanford.edu
gamsel documentation built on Feb. 4, 2022, 5:09 p.m.
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Description
Using overlap grouped lasso penalties, gamsel selects whether a term in a gam is nonzero, linear, or a non-linear spline (up to a specified max df per variable). It fits the entire regularization path on a grid of values for the overall penalty lambda, both for gaussian and binomial families. Key functions are gamsel, predict.gamsel, plot.gamsel, print.gamsel, summary.gamsel, cv.gamsel, plot.cv.gamsel
Author(s)
Alexandra Chouldechova, Trevor Hastie Maintainer: Trevor Hastie hastie@stanford.edu
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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