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CARS: Covariate Assisted Ranking and Screening for Large-Scale Two-Sample Inference
It implements the CARS procedure, which is a two-sample multiple testing procedure that utilizes an additional auxiliary variable to capture the sparsity information, hence improving power. The CARS procedure is shown to be asymptotically valid and optimal for FDR control. For more information, please see the website <http://www-bcf.usc.edu/~wenguans/Papers/CARS.html> and the accompanying paper.
Getting started
Browse package contents
Package details |
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| Author | Weinan Wang [cre, aut] |
| Maintainer | Weinan Wang <weinanw@usc.edu> |
| License | MIT + file LICENSE |
| Version | 0.2.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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