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l0ara

What is it?

l0ara fits regularization for linear or generalized linear models with L0 penalty. Adaptive ridge algorithms are used to fit the models.

Installation

To install the latest version from github :

install.packages("devtools")
devtools::install_github("wguo1990/l0ara")

To install from CRAN:

install.packages("l0ara")

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Version

Install

install.packages('l0ara')

Monthly Downloads

167

Version

0.1.5

License

GPL-2

Maintainer

Wenchuan Guo

Last Published

July 24th, 2017

Functions in l0ara (0.1.5)

coef.cv.l0ara

print coefficients from a "cv.l0ara" object.
coef.l0ara

print coefficients from a "l0ara" object.
print.l0ara

summarizing the fits from a "l0ara" object.
predict.l0ara

make predictions from a "l0ara" object.
print.cv.l0ara

summarizing the fits from a "cv.l0ara" object.
plot.cv.l0ara

plot for an "cv.l0ara" object
plot.l0ara

plot for an "l0ara" object
cv.l0ara

cross-validation for l0ara
l0ara

fit a generalized linear model with l0 penalty