AWFisher
An R package for fast computing for adaptively weighted fisher's method
Bioconductor version: Release (3.17)
Implementation of the adaptively weighted fisher's method, including fast p-value computing, variability index, and meta-pattern.
Author: Zhiguang Huo
Maintainer: Zhiguang Huo <zhuo at ufl.edu>
Citation (from within R, enter
citation("AWFisher")):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("AWFisher")For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("AWFisher")| AWFisher | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Software, StatisticalMethod |
| Version | 1.14.0 |
| In Bioconductor since | BioC 3.10 (R-3.6) (4 years) |
| License | GPL-3 |
| Depends | R (>= 3.6) |
| Imports | edgeR, limma, stats |
| Linking To | |
| Suggests | knitr, tightClust |
| System Requirements | |
| Enhances | |
| URL | |
| Bug Reports | https://github.com/Caleb-Huo/AWFisher/issues |
See More
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | AWFisher_1.14.0.tar.gz |
| Windows Binary | AWFisher_1.14.0.zip (64-bit only) |
| macOS Binary (x86_64) | AWFisher_1.14.0.tgz |
| macOS Binary (arm64) | AWFisher_1.14.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/AWFisher |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/AWFisher |
| Bioc Package Browser | https://code.bioconductor.org/browse/AWFisher/ |
| Package Short Url | https://bioconductor.org/packages/AWFisher/ |
| Package Downloads Report | Download Stats |