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This is the development version of calm; for the stable release version, see calm.

Covariate Assisted Large-scale Multiple testing

Bioconductor version: Development (3.20)

Statistical methods for multiple testing with covariate information. Traditional multiple testing methods only consider a list of test statistics, such as p-values. Our methods incorporate the auxiliary information, such as the lengths of gene coding regions or the minor allele frequencies of SNPs, to improve power.

Author: Kun Liang [aut, cre]

Maintainer: Kun Liang <kun.liang at>

Citation (from within R, enter citation("calm")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Userguide for calm package HTML R Script
Reference Manual PDF


biocViews Bayesian, DifferentialExpression, GeneExpression, Genetics, ImmunoOncology, Metabolomics, Microarray, MultipleComparison, Proteomics, RNASeq, Regression, Sequencing, Software, Transcriptomics
Version 1.19.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License GPL (>=2)
Imports mgcv, stats, graphics
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Suggests knitr, rmarkdown
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Source Package calm_1.19.0.tar.gz
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