Bioconductor version: Release (3.17)
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 uwaterloo.ca>
Citation (from within R,
enter citation("calm")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("calm")
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:
browseVignettes("calm")
HTML | R Script | Userguide for calm package |
Reference Manual | ||
Text | NEWS |
biocViews | Bayesian, DifferentialExpression, GeneExpression, Genetics, ImmunoOncology, Metabolomics, Microarray, MultipleComparison, Proteomics, RNASeq, Regression, Sequencing, Software, Transcriptomics |
Version | 1.14.0 |
In Bioconductor since | BioC 3.10 (R-3.6) (4 years) |
License | GPL (>=2) |
Depends | |
Imports | mgcv, stats, graphics |
LinkingTo | |
Suggests | knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/k22liang/calm/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | calm_1.14.0.tar.gz |
Windows Binary | calm_1.14.0.zip |
macOS Binary (x86_64) | calm_1.14.0.tgz |
macOS Binary (arm64) | calm_1.14.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/calm |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/calm |
Bioc Package Browser | https://code.bioconductor.org/browse/calm/ |
Package Short Url | https://bioconductor.org/packages/calm/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: