To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("plrs")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.4)
The present package implements a flexible framework for modeling the relationship between DNA copy number and gene expression data using Piecewise Linear Regression Splines (PLRS).
Author: Gwenael G.R. Leday
Maintainer: Gwenael G.R. Leday to <gleday at few.vu.nl>
Citation (from within R,
enter citation("plrs")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("plrs")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("plrs")
R Script | plrs | |
Reference Manual |
biocViews | Regression, Software |
Version | 1.14.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (4 years) |
License | GPL (>=2.0) |
Depends | R (>= 2.10), Biobase |
Imports | BiocGenerics, CGHbase, graphics, grDevices, ic.infer, marray, methods, quadprog, Rcsdp, stats, stats4, utils |
LinkingTo | |
Suggests | mvtnorm, methods |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | plrs_1.14.0.tar.gz |
Windows Binary | plrs_1.14.0.zip |
Mac OS X 10.9 (Mavericks) | plrs_1.14.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/plrs/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/plrs/ |
Package Downloads Report | Download Stats |
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