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

Statistical Analysis for Developmental Microarray Time Course Data

Bioconductor version: Release (3.4)

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")):

To install this package, start R and enter:

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

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

biocViews	DifferentialExpression, Microarray, Software, TimeCourse
Version	1.46.0
In Bioconductor since	BioC 1.7 (R-2.2) (11.5 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
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Build Report

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

Package Source	timecourse_1.46.0.tar.gz
Windows Binary	timecourse_1.46.0.zip
Mac OS X 10.9 (Mavericks)	timecourse_1.46.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/timecourse/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/timecourse/
Package Downloads Report	Download Stats

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