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sicegar
View on CRAN: Click
here
Download and install sicegar package within the R console
Install from CRAN:
install.packages("sicegar")
Install from Github:
library("remotes")
install_github("cran/sicegar") Install by package version:
library("remotes")
install_version("sicegar", "0.3.0") Attach the package and use:
library("sicegar")
Maintained by
Claus O. Wilke
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-03-19
Latest Update: 2021-05-08
Description:
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".
How to cite:
Claus O. Wilke (2017). sicegar: Analysis of Single-Cell Viral Growth Curves. R package version 0.3.0, https://cran.r-project.org/web/packages/sicegar. Accessed 05 Mar. 2026.
Previous versions and publish date:
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Complete documentation for sicegar
Functions, R codes and Examples using
the sicegar R package
Some associated functions: categorize . dataCheck . doublesigmoidalFitFormula . doublesigmoidalFitFunction . figureModelCurves . fitAndCategorize . multipleFitFunction . normalizeData . parameterCalculation . preCategorize . sameSourceDataCheck . sigmoidalFitFormula . sigmoidalFitFunction . unnormalizeData .
Some associated R codes: categorize.R . dataInputCheck.R . doublesigmoidalFitFunctions.R . figureGeneration.R . mainFunctions.R . multipleFitFunction.R . normalizationFunction.R . parameterCalculation.R . sicegar.R . sigmoidalFitFunctions.R . Full sicegar package functions and examples
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