To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("ClassifyR")

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

ClassifyR

 

   

A framework for two-class classification problems, with applications to differential variability and differential distribution testing

Bioconductor version: Release (3.5)

The software formalises a framework for classification in R. There are four stages; Data transformation, feature selection, classifier training, and prediction. The requirements of variable types and names are fixed, but specialised variables for functions can also be provided. The classification framework is wrapped in a driver loop, that reproducibly carries out a number of cross-validation schemes. Functions for differential expression, differential variability, and differential distribution are included. Additional functions may be developed by the user, by creating an interface to the framework.

Author: Dario Strbenac, John Ormerod, Graham Mann, Jean Yang

Maintainer: Dario Strbenac <dario.strbenac at sydney.edu.au>

Citation (from within R, enter citation("ClassifyR")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("ClassifyR")

Documentation

HTML R Script An Introduction to the ClassifyR Package
PDF   Reference Manual
Text   NEWS

Details

biocViews Classification, Software, Survival
Version 1.10.1
In Bioconductor since BioC 3.0 (R-3.1) (2.5 years)
License GPL-3
Depends R (>= 3.0.3), methods, Biobase, BiocParallel
Imports locfit, ROCR, grid
LinkingTo
Suggests limma, edgeR, car, Rmixmod, ggplot2 (>= 2.2.0), gridExtra (>= 2.0.0), BiocStyle, pamr, sparsediscrim, PoiClaClu, curatedOvarianData, parathyroidSE, knitr, klaR, gtable, scales, e1071, rmarkdown, IRanges
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.

Package Source ClassifyR_1.10.1.tar.gz
Windows Binary ClassifyR_1.10.1.zip
Mac OS X 10.11 (El Capitan) ClassifyR_1.9.3.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/ClassifyR/tree/release-3.5
Package Short Url http://bioconductor.org/packages/ClassifyR/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: