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care
View on CRAN: Click
here
Download and install care package within the R console
Install from CRAN:
install.packages("care")
Install from Github:
library("remotes")
install_github("cran/care") Install by package version:
library("remotes")
install_version("care", "1.1.11") Attach the package and use:
library("care")
Maintained by
Korbinian Strimmer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-08-08
Latest Update: 2021-11-21
Description:
Implements the regression approach
of Zuber and Strimmer (2011) "High-dimensional regression and variable
selection using CAR scores" SAGMB 10: 34, .
CAR scores measure the correlation between the response and the
Mahalanobis-decorrelated predictors. The squared CAR score is a
natural measure of variable importance and provides a canonical
ordering of variables. This package provides functions for estimating
CAR scores, for variable selection using CAR scores, and for estimating
corresponding regression coefficients. Both shrinkage as well as
empirical estimators are available.
How to cite:
Korbinian Strimmer (2010). care: High-Dimensional Regression and CAR Score Variable Selection. R package version 1.1.11, https://cran.r-project.org/web/packages/care. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.0 (2010-08-08 20:54), 1.1.0 (2011-07-23 15:50), 1.1.1 (2011-07-25 07:06), 1.1.2 (2012-01-22 09:05), 1.1.3 (2013-09-15 09:51), 1.1.4 (2014-04-19 01:11), 1.1.5 (2014-07-28 17:46), 1.1.6 (2014-11-17 00:48), 1.1.7 (2014-11-23 23:36), 1.1.8 (2015-03-09 20:38), 1.1.9 (2015-07-08 16:28), 1.1.10 (2017-03-29 19:43)
Other packages that cited care R package
View care citation profile
Other R packages that care depends,
imports, suggests or enhances
Complete documentation for care
Functions, R codes and Examples using
the care R package
Some associated functions: care-internal . care.package . carscore . efron2004 . lu2004 . slm .
Some associated R codes: carscore.R . predict.slm.R . slm.R . Full care package functions and examples
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