https://github.com/bioconductor-source/swfdr

https://github.com/bioconductor-source/swfdr

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: bioconductor-source
  • Language: R
  • Default Branch: devel
  • Size: 17.7 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme

README.md

swfdr

Science-wide false discovery rate

swfdr is an R package for dealing with multiple hypothesis testing.

Installation

The package is available through Bioconductor.

library(BiocManager) BiocManager::install("swfdr")

It is also possible to install in-development versions from github.

library(devtools) install_github("leekgroup/swfdr")

Example

A minimal working example for using the lm_pi0 and lm_qvalue functions is as follows

``` library(swfdr) x <- c(rbeta(1000, 0.2, 1), runif(1000, 0, 1)) x.covariate = rep(c(1,2), each=1000)

compute covariate-adjusted pi0 - probability of null hypothesis to be true

x.pi0 = lm_pi0(x, X=x.covariate) x.pi0

compute covariate-adjusted qvalues

x.qvalues <- lm_qvalue(x, X=x.covariate) x.qvalues ```

Owner

  • Name: (WIP DEV) Bioconductor Packages
  • Login: bioconductor-source
  • Kind: organization
  • Email: maintainer@bioconductor.org

Source code for packages accepted into Bioconductor

GitHub Events

Total
Last Year

Dependencies

DESCRIPTION cran
  • R >= 3.4 depends
  • methods * imports
  • splines * imports
  • stats * imports
  • stats4 * imports
  • BiocStyle * suggests
  • dplyr * suggests
  • ggplot2 * suggests
  • knitr * suggests
  • qvalue * suggests
  • reshape2 * suggests
  • rmarkdown * suggests
  • testthat * suggests