care 1.1.10 – High-Dimensional Regression and CAR Score Variable Selection

care 1.1.10

:: DESCRIPTION

The “care” package a novel multivariate algorithm for large scale SNP selection using CAR score regression, a promising new approach for prioritizing biomarkers.  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.

Advertisement

::DEVELOPER

Strimmer Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 care

:: MORE INFORMATION

Citation:

BMC Bioinformatics. 2012 Oct 31;13:284. doi: 10.1186/1471-2105-13-284.
A novel algorithm for simultaneous SNP selection in high-dimensional genome-wide association studies.
Zuber V, Duarte Silva AP, Strimmer K.