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: | 0.2.4 |
| Imports: | dplyr, minpack.lm, fBasics, ggplot2, stats |
| Suggests: | covr, cowplot, testthat, knitr, rmarkdown |
| Published: | 2021-05-08 |
| 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:
| Reference manual: | sicegar.pdf |
| Vignettes: |
Calculation of additional parameters of interest Identifying the best-fitting model category Fitting individual models Introduction Plotting the fitted models |
Downloads:
| Package source: | sicegar_0.2.4.tar.gz |
| Windows binaries: | r-devel: sicegar_0.2.4.zip, r-release: sicegar_0.2.4.zip, r-oldrel: sicegar_0.2.4.zip |
| macOS binaries: | r-release (arm64): sicegar_0.2.4.tgz, r-oldrel (arm64): sicegar_0.2.4.tgz, r-release (x86_64): sicegar_0.2.4.tgz, r-oldrel (x86_64): sicegar_0.2.4.tgz |
| Old sources: | sicegar archive |
Linking:
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