To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ClassifyR")
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This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see ClassifyR.
Bioconductor version: 3.1
The software formalises a framework for classification in R. There are four stages. Data transformation, feature selection, 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 does a couple of cross-validation schemes. Functions for differential expression, differential variability, and differential distribution are included. Additional functions may be developed by the user, if they have better performing methods.
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")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ClassifyR")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ClassifyR")
Follow Installation instructions to use this package in your R session.
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