calm

calm implements statistical methods for multiple testing that incorporate auxiliary covariate information to improve statistical power beyond traditional methods that rely solely on test statistics such as p-values.

Key Features:

• Covariate Integration: Incorporates auxiliary information such as the lengths of gene coding regions or the minor allele frequencies of SNPs into multiple testing procedures.
• Power Improvement: Enhances statistical power compared to traditional multiple testing methods that only consider a list of test statistics.

Scientific Applications:

• Genomic Multiple Testing: Applied to multiple testing scenarios in genomics where auxiliary covariate information is available to improve detection power.

Methodology:

Statistical methods for large-scale multiple testing with covariate assistance.