sicegar: Analysis of Single-Cell Viral Growth Curves

Classifies time course fluorescence data of viral growth. The package categorize time course data into one of four categories, "ambiguous", "no signal", "sigmoidal", and "double sigmoidal" by fitting a series of mathematical models to the data. The origin of the package name came from "SIngle CEll Growth Analysis in R".

Version: 0.1
Imports: dplyr, minpack.lm, fBasics, ggplot2, stats
Suggests: knitr
Published: 2017-03-19
Author: M. Umut Caglar [aut, cre], Claus O. Wilke [aut]
Maintainer: M. Umut Caglar <umut.caglar at gmail.com>
BugReports: https://github.com/wilkelab/sicegar/issues
License: GPL-2 | GPL-3
URL: https://github.com/wilkelab/sicegar
NeedsCompilation: no
Materials: README
CRAN checks: sicegar results

Downloads:

Reference manual: sicegar.pdf
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Package source: sicegar_0.1.tar.gz
Windows binaries: r-devel: sicegar_0.1.zip, r-release: sicegar_0.1.zip, r-oldrel: sicegar_0.1.zip
OS X El Capitan binaries: r-release: sicegar_0.1.tgz
OS X Mavericks binaries: r-oldrel: sicegar_0.1.tgz

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