Package: glmpath 0.98

Mee Young Park

glmpath: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model

A path-following algorithm for L1 regularized generalized linear models and Cox proportional hazards model.

Authors:Mee Young Park, Trevor Hastie

# Install 'glmpath' in R:

install.packages('glmpath', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 7 years agofrom:f8218c3f64. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 06 2024
R-4.5-linux-x86_64	OK	Nov 06 2024

Help page	Topics
Generates a set of bootstrap coefficients for glmpath or coxpath	bootstrap.path
Fits the entire L1 regularization path for Cox proportional hazards model	coxpath
Computes cross-validated (minus) log-partial-likelihoods for coxpath	cv.coxpath
Computes cross-validated (minus) log-likelihoods or prediction errors for glmpath	cv.glmpath
Fits the entire L1 regularization path for generalized linear models	glmpath
Dataset for glmpath	heart.data
Dataset for coxpath	lung.data
Generates the histograms or the pairwise scatter plots of the bootstrap coefficients computed from bootstrap.path	plot.bootpath
Plots the regularization path computed from coxpath	plot.coxpath
Plots the regularization path computed from glmpath	plot.glmpath
Makes predictions at particular points along the fitted coxpath	predict.coxpath
Makes predictions at particular points along the fitted glmpath	predict.glmpath
Produces an anova-type summary for a coxpath object	summary.coxpath
Produces an anova-type summary for a glmpath object	summary.glmpath