ClassifyR

DOI: 10.18129/B9.bioc.ClassifyR    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see ClassifyR.

A framework for cross-validated classification problems, with applications to differential variability and differential distribution testing

Bioconductor version: 3.7

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>

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("ClassifyR")

 

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

Details

biocViews	Classification, Software, Survival
Version	2.0.10
In Bioconductor since	BioC 3.0 (R-3.1) (4 years)
License	GPL-3
Depends	R (>= 3.5.0), methods, S4Vectors(>= 0.18.0), MultiAssayExperiment(>= 1.6.0), BiocParallel
Imports	locfit, grid, utils, plyr
LinkingTo
Suggests	limma, edgeR, car, Rmixmod, ggplot2 (>= 2.2.0), gridExtra (>= 2.0.0), BiocStyle, pamr, PoiClaClu, parathyroidSE, knitr, htmltools, gtable, scales, e1071, rmarkdown, IRanges, randomForest, robustbase, mlogit, mnlogit, glmnet
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
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Build Report

Package Archives

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

Source Package	ClassifyR_2.0.10.tar.gz
Windows Binary	ClassifyR_2.0.10.zip
Mac OS X 10.11 (El Capitan)	ClassifyR_2.0.10.tgz
Source Repository	git clone https://git.bioconductor.org/packages/ClassifyR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/ClassifyR
Package Short Url	http://bioconductor.org/packages/ClassifyR/
Package Downloads Report	Download Stats