Package: l0ara 0.1.6

Wenchuan Guo
l0ara: Sparse Generalized Linear Model with L0 Approximation for Feature Selection
An efficient procedure for feature selection for generalized linear models with L0 penalty, including linear, logistic, Poisson, gamma, inverse Gaussian regression. Adaptive ridge algorithms are used to fit the models.
Authors:
l0ara_0.1.6.tar.gz
l0ara_0.1.6.tar.gz(r-4.5-noble)l0ara_0.1.6.tar.gz(r-4.4-noble)
l0ara_0.1.6.tgz(r-4.4-emscripten)l0ara_0.1.6.tgz(r-4.3-emscripten)
l0ara.pdf |l0ara.html✨
l0ara/json (API)
NEWS
# Install 'l0ara' in R: |
install.packages('l0ara', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:30303f9789. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 21 2025 |
R-4.5-linux-x86_64 | OK | Mar 21 2025 |
R-4.4-linux-x86_64 | OK | Mar 21 2025 |
Dependencies:RcppRcppArmadillo
Citation
To cite package ‘l0ara’ in publications use:
Guo W, Ma S, Liu Z (2020). l0ara: Sparse Generalized Linear Model with L0 Approximation for Feature Selection. R package version 0.1.6, https://CRAN.R-project.org/package=l0ara.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{, title = {l0ara: Sparse Generalized Linear Model with L0 Approximation for Feature Selection}, author = {Wenchuan Guo and Shujie Ma and Zhenqiu Liu}, year = {2020}, note = {R package version 0.1.6}, url = {https://CRAN.R-project.org/package=l0ara}, }
Readme and manuals
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")
Help Manual
Help page | Topics |
---|---|
print coefficients from a "cv.l0ara" object. | coef.cv.l0ara |
print coefficients from a "l0ara" object. | coef.l0ara |
cross-validation for l0ara | cv.l0ara |
fit a generalized linear model with l0 penalty | l0ara |
plot for an "cv.l0ara" object | plot.cv.l0ara |
plot for an "l0ara" object | plot.l0ara |
make predictions from a "l0ara" object. | predict.l0ara |
summarizing the fits from a "cv.l0ara" object. | print.cv.l0ara |
summarizing the fits from a "l0ara" object. | print.l0ara |