To install this package, start R and enter:

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

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

timecourse

DOI: 10.18129/B9.bioc.timecourse    

Statistical Analysis for Developmental Microarray Time Course Data

Bioconductor version: Release (3.5)

Functions for data analysis and graphical displays for developmental microarray time course data.

Author: Yu Chuan Tai

Maintainer: Yu Chuan Tai <yuchuan at stat.berkeley.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("timecourse")

 

PDF R Script timecourse manual
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software, TimeCourse
Version 1.48.0
In Bioconductor since BioC 1.7 (R-2.2) (12 years)
License LGPL
Depends R (>= 2.1.1), MASS, methods
Imports Biobase, graphics, limma(>= 1.8.6), MASS, marray, methods, stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://www.bioconductor.org
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package timecourse_1.48.0.tar.gz
Windows Binary timecourse_1.48.0.zip
Mac OS X 10.11 (El Capitan) timecourse_1.48.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/timecourse
Package Short Url http://bioconductor.org/packages/timecourse/
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