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grpCox
View on CRAN: Click
here
Download and install grpCox package within the R console
Install from CRAN:
install.packages("grpCox")
Install from Github:
library("remotes")
install_github("cran/grpCox") Install by package version:
library("remotes")
install_version("grpCox", "1.0.2") Attach the package and use:
library("grpCox")
Maintained by
Xuan Dang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-03
Latest Update: 2023-12-11
Description:
Fit the penalized Cox models with both non-overlapping and overlapping grouped penalties including the group lasso, group smoothly clipped absolute deviation, and group minimax concave penalty. The algorithms combine the MM approach and group-wise descent with some computational tricks including the screening, active set, and warm-start. Different tuning regularization parameter methods are provided.
How to cite:
Xuan Dang (2020). grpCox: Penalized Cox Model for High-Dimensional Data with Grouped Predictors. R package version 1.0.2, https://cran.r-project.org/web/packages/grpCox. Accessed 08 Aug. 2026.
Previous versions and publish date:
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Other R packages that grpCox depends,
imports, suggests or enhances
Complete documentation for grpCox
Functions, R codes and Examples using
the grpCox R package
Some associated functions: cv.grpCox . cv.grpCoxOverlap . grpCox-package . grpCox . grpCoxOverlap . plot.Coef . plot.gCoef . plot.llCV .
Some associated R codes: RcppExports.R . grpCox.R . grpCoxOverlap.R . grpCoxPrep.R . Full grpCox package functions and examples
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