To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PhenStat")

In most cases, you don't need to download the package archive at all.

PhenStat

DOI: 10.18129/B9.bioc.PhenStat    

Statistical analysis of phenotypic data

Bioconductor version: Release (3.6)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PhenStat")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("PhenStat")

 

PDF R Script PhenStat Vignette
PDF PhenStatUsersGuide.pdf
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews Software, StatisticalMethod
Version 2.14.0
In Bioconductor since BioC 2.14 (R-3.1) (3.5 years)
License file LICENSE
Depends R (>= 3.4.1)
Imports SmoothWin, methods, car, nlme, nortest, MASS, msgps, logistf, knitr, tools, pingr, ggplot2, reshape, corrplot, graph, lme4, graphics, grDevices, utils, stats
LinkingTo
Suggests RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package PhenStat_2.14.0.tar.gz
Windows Binary PhenStat_2.14.0.zip
Mac OS X 10.11 (El Capitan) PhenStat_2.14.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/PhenStat
Package Short Url http://bioconductor.org/packages/PhenStat/
Package Downloads Report Download Stats

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