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
Insights
Last 30 days
This package has been downloaded 1,141 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 48 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 15,247 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Nov 05, 2024 with 107 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Enhances1 package
- Suggests1 package
- Reverse Suggests6 packages
- Reverse Enhances1 package