To install this package, start R and enter:

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

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

cellGrowth

This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see cellGrowth.

Fitting cell population growth models

Bioconductor version: 3.3

This package provides functionalities for the fitting of cell population growth models on experimental OD curves.

Author: Julien Gagneur <gagneur at genzentrum.lmu.de>, Andreas Neudecker <a.neudecker at arcor.de>

Maintainer: Julien Gagneur <gagneur at genzentrum.lmu.de>

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

To install this package, start R and enter:

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

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

browseVignettes("cellGrowth")

PDF	R Script	Overview of the cellGrowth package.
PDF		Reference Manual
Text		NEWS

biocViews	CellBasedAssays, DataImport, MicrotitrePlateAssay, Software, TimeCourse, Visualization
Version	1.16.0
In Bioconductor since	BioC 2.10 (R-2.15) (4.5 years)
License	Artistic-2.0
Depends	R (>= 2.12.0), locfit (>= 1.5-4)
Imports	lattice
LinkingTo
Suggests
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	cellGrowth_1.16.0.tar.gz
Windows Binary	cellGrowth_1.16.0.zip
Mac OS X 10.9 (Mavericks)	cellGrowth_1.16.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/cellGrowth/tree/release-3.3
Package Short Url	http://bioconductor.org/packages/cellGrowth/
Package Downloads Report	Download Stats

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