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grpreg
View on CRAN: Click
here
Download and install grpreg package within the R console
Install from CRAN:
install.packages("grpreg")
Install from Github:
library("remotes")
install_github("cran/grpreg") Install by package version:
library("remotes")
install_version("grpreg", "3.5.0") Attach the package and use:
library("grpreg")
Maintained by
Patrick Breheny
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-11-24
Latest Update: 2024-09-03
Description:
Efficient algorithms for fitting the regularization path of linear
regression, GLM, and Cox regression models with grouped penalties. This
includes group selection methods such as group lasso, group MCP, and
group SCAD as well as bi-level selection methods such as the group
exponential lasso, the composite MCP, and the group bridge. For more
information, see Breheny and Huang (2009) ,
Huang, Breheny, and Ma (2012) , Breheny and Huang
(2015) , and Breheny (2015)
, or visit the package homepage
.
How to cite:
Patrick Breheny (2008). grpreg: Regularization Paths for Regression Models with Grouped Covariates. R package version 3.5.0, https://cran.r-project.org/web/packages/grpreg. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0 (2008-11-24 10:27), 1.1 (2009-11-13 11:43), 1.2-0 (2011-06-22 22:31), 1.2-1 (2011-07-06 20:56), 1.2-2 (2012-07-12 21:47), 2.0-0 (2012-07-21 14:22), 2.0-1 (2012-07-22 15:22), 2.1-0 (2012-07-28 15:52), 2.2-0 (2012-10-09 07:58), 2.2-1 (2012-11-16 00:04), 2.3-0 (2013-02-10 15:27), 2.4-0 (2013-06-07 08:17), 2.5-0 (2013-12-24 07:44), 2.6-0 (2014-03-21 20:40), 2.7-0 (2014-08-13 07:35), 2.7-1 (2014-08-13 22:16), 2.8-0 (2014-11-15 16:54), 2.8-1 (2015-05-30 07:54), 3.0-0 (2016-06-02 14:38), 3.0-1 (2016-06-06 23:32), 3.0-2 (2016-07-11 22:56), 3.1-0 (2017-05-18 16:22), 3.1-1 (2017-06-08 06:28), 3.1-2 (2017-07-06 12:19), 3.1-3 (2018-04-08 13:13), 3.1-4 (2018-06-15 22:56), 3.2-0 (2018-09-27 16:40), 3.2-1 (2019-02-26 22:40), 3.2.2 (2020-02-19 07:00), 3.3.0 (2020-06-10 20:20), 3.3.1 (2021-03-30 18:10), 3.4.0 (2021-07-26 20:10), 3.5.0 (2024-09-03 19:00)
Other packages that cited grpreg R package
View grpreg citation profile
Other R packages that grpreg depends,
imports, suggests or enhances
Complete documentation for grpreg
Functions, R codes and Examples using
the grpreg R package
Some associated functions: Birthwt . Lung . auc . birthwt-grpreg . cv-grpreg . expand_spline . gBridge . gen_nonlinear_data . grpreg-package . grpreg . grpsurv . logLik-grpreg . plot-cv-grpreg . plot-grpreg . plot-grpsurv-func . plot_spline . predict.grpsurv . predict . residuals.grpreg . select-grpreg . summary-cv-grpreg .
Some associated R codes: G.R . auc.R . calcNullDev.R . cv-grpreg.R . cv-grpsurv.R . expand_spline.R . gBridge.R . gen_nonlinear_data.R . grpreg.R . grpsurv.R . logLik.R . loss.R . multi.R . newS.R . newXG.R . newY.R . orthogonalize.R . plot-cv.R . plot-grpsurv-func.R . plot.R . plot_spline.R . predict-cv.R . predict-surv.R . predict.R . predict_spline.R . print.R . residuals.R . se-grpsurv.R . select.R . setupLambda.R . setupLambdaCox.R . standardize.R . summary-cv-grpreg.R . Full grpreg package functions and examples
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