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clogitL1 (version 1.5)

Fitting Exact Conditional Logistic Regression with Lasso and Elastic Net Penalties

Description

Tools for the fitting and cross validation of exact conditional logistic regression models with lasso and elastic net penalties. Uses cyclic coordinate descent and warm starts to compute the entire path efficiently.

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Version

Install

install.packages('clogitL1')

Monthly Downloads

298

Version

1.5

License

GPL-2

Maintainer

Stephen Reid

Last Published

February 2nd, 2019

Functions in clogitL1 (1.5)

clogitL1-package

Penalised conditional logistic regression.
cv.clogitL1

Cross validation of conditional logistic regression with elastic net penalties
plot.clogitL1

Plotting after fitting conditional logistic regression with elastic net penalties
summary.clogitL1

Summary after fitting conditional logistic regression with elastic net penalties
summary.cv.clogitL1

Summary after cross validation of conditional logistic regression with elastic net penalties
plot.cv.clogitL1

Plotting after cross validating conditional logistic regression with elastic net penalties
print.clogitL1

Printing after fitting conditional logistic regression with elastic net penalties
clogitL1

Conditional logistic regression with elastic net penalties