PhenStat
Statistical analysis of phenotypic data
Bioconductor version: Release (3.20)
Package contains methods for statistical analysis of phenotypic data.
Author: Natalja Kurbatova, Natasha Karp, Jeremy Mason, Hamed Haselimashhadi
Maintainer: Hamed Haselimashhadi <hamedhm at ebi.ac.uk>
Citation (from within R, enter
citation("PhenStat")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("PhenStat")
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("PhenStat")
PhenStat Vignette | R Script | |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | Software, StatisticalMethod |
Version | 2.42.0 |
In Bioconductor since | BioC 2.14 (R-3.1) (10.5 years) |
License | file LICENSE |
Depends | R (>= 3.5.0) |
Imports | SmoothWin, methods, car, nlme, nortest, MASS, msgps, logistf, knitr, tools, pingr, ggplot2, reshape, corrplot, graph, lme4, graphics, grDevices, utils, stats |
System Requirements | |
URL |
See More
Suggests | RUnit, BiocGenerics |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | PhenStat_2.42.0.tar.gz |
Windows Binary (x86_64) | PhenStat_2.42.0.zip |
macOS Binary (x86_64) | PhenStat_2.42.0.tgz |
macOS Binary (arm64) | PhenStat_2.42.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/PhenStat |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/PhenStat |
Bioc Package Browser | https://code.bioconductor.org/browse/PhenStat/ |
Package Short Url | https://bioconductor.org/packages/PhenStat/ |
Package Downloads Report | Download Stats |