sicegar: Analysis of Single-Cell Viral Growth Curves
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: | 0.3.0 |
| Imports: | minpack.lm, fBasics, ggplot2, stats, dplyr |
| Suggests: | covr, cowplot, testthat, knitr, rmarkdown |
| Published: | 2025-11-15 |
| DOI: | 10.32614/CRAN.package.sicegar |
| Author: | Johanna Hardin 
[aut, cre],
Samuel Butler [aut],
Phineus Choi [aut],
Thomas Matheis [aut],
Mira Terdiman [aut],
M. Umut Caglar [aut],
Claus O. Wilke
[aut] |
| Maintainer: | Johanna Hardin <jo.hardin at pomona.edu> |
| BugReports: | https://github.com/hardin47/sicegar/issues |
| License: | GPL-2 | GPL-3 |
| URL: | https://github.com/wilkelab/sicegar/, https://hardin47.github.io/sicegar/ |
| NeedsCompilation: | no |
| Citation: | sicegar citation info |
| Materials: | README, NEWS |
| CRAN checks: | sicegar results |
Documentation:
Downloads:
| Package source: | sicegar_0.3.0.tar.gz |
| Windows binaries: | r-devel: sicegar_0.3.0.zip, r-release: sicegar_0.3.0.zip, r-oldrel: sicegar_0.3.0.zip |
| macOS binaries: | r-release (arm64): sicegar_0.3.0.tgz, r-oldrel (arm64): sicegar_0.3.0.tgz, r-release (x86_64): sicegar_0.3.0.tgz, r-oldrel (x86_64): sicegar_0.3.0.tgz |
| Old sources: | sicegar archive |
Linking:
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