Aims to quantify time intensity data by using sigmoidal and double sigmoidal curves. It fits straight lines, sigmoidal, and double sigmoidal curves on to time vs intensity data. Then all the fits are used to make decision on which model best describes the data. This method was first developed in the context of single-cell viral growth analysis (for details, see Caglar et al. (2018) <doi:10.7717/peerj.4251>), and the package name stands for "SIngle CEll Growth Analysis in R".
Version: 0.2.4 Imports: dplyr, minpack.lm, fBasics, ggplot2, stats Suggests: covr, cowplot, testthat, knitr, rmarkdown Published: 2021-05-08 DOI: 10.32614/CRAN.package.sicegar Author: M. Umut Caglar [aut], Claus O. Wilke [aut, cre] Maintainer: Claus O. Wilke <wilke at austin.utexas.edu> BugReports: https://github.com/wilkelab/sicegar/issues License: GPL-2 | GPL-3 URL: https://github.com/wilkelab/sicegar NeedsCompilation: no Citation: sicegar citation info Materials: README CRAN checks: sicegar results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=sicegar to link to this page.
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