care
High-Dimensional Regression and CAR Score Variable Selection
Implements the regression approach of Zuber and Strimmer (2011) "High-dimensional regression and variable selection using CAR scores" SAGMB 10: 34, doi:10.2202/1544-6115.1730. 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.
- Version1.1.11
- R version≥ 3.0.2
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release11/21/2021
Documentation
Team
Verena Zuber and Korbinian Strimmer
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- Depends1 package
- Enhances1 package
- Suggests1 package
- Reverse Suggests6 packages
- Reverse Enhances1 package