Package: calm 1.26.0

Kun Liang

calm: Covariate Assisted Large-scale Multiple testing

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.

Authors:Kun Liang [aut, cre]

calm_1.26.0.tar.gz
calm_1.26.0.zip(r-4.7)calm_1.26.0.zip(r-4.6)calm_1.26.0.zip(r-4.5)
calm_1.26.0.tgz(r-4.6-any)calm_1.26.0.tgz(r-4.5-any)
calm_1.26.0.tar.gz(r-4.7-any)calm_1.26.0.tar.gz(r-4.6-any)
calm_1.26.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
calm/json (API)
NEWS

# Install 'calm' in R:
install.packages('calm', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/k22liang/calm/issues

Datasets:
  • pso - Psoriasis RNA-seq dataset

On BioConductor:calm-1.27.0(bioc 3.24)calm-1.26.0(bioc 3.23)

bayesiandifferentialexpressiongeneexpressionregressionmicroarraysequencingrnaseqmultiplecomparisongeneticsimmunooncologymetabolomicsproteomicstranscriptomics

3.30 score 9 scripts 284 downloads 3 exports 4 dependencies

Last updated from:0cd22d0938 (on RELEASE_3_23). Checks:1 WARNING, 9 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksWARNING138
linux-devel-x86_64OK182
source / vignettesOK249
linux-release-x86_64OK220
macos-release-arm64OK85
macos-oldrel-arm64OK130
windows-develOK112
windows-releaseOK113
windows-oldrelOK116
wasm-releaseOK100

Exports:CLfdrEstFDREstNullProp_RB

Dependencies:latticeMatrixmgcvnlme

Introduction to calm

Kun Liang

Rendered fromcalm_intro.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2019-08-27
Started: 2019-07-24