Analysis of Single-Cell Viral Growth Curves R package sicegar version 0.3.0 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". Software Imports: minpack.lm, fBasics, ggplot2, stats, dplyr Suggests: covr, cowplot, testthat, knitr, rmarkdown Johanna Hardin <jo.hardin@pomona.edu> Comprehensive R Archive Network (CRAN) Johanna Hardin [aut, cre] (ORCID: <https://orcid.org/0000-0001-6251-1955>), Samuel Butler [aut], Phineus Choi [aut], Thomas Matheis [aut], Mira Terdiman [aut], M. Umut Caglar [aut], Claus O. Wilke [aut] (ORCID: <https://orcid.org/0000-0002-7470-9261>) GPL-2 GPL-3 2025-11-15 application/tgz https://CRAN.R-project.org/package=sicegar doi:10.32614/CRAN.package.sicegar