Analysis of Single-Cell Viral Growth Curves
Overview
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".
- Added functionality so that the lower asymptote (h0) can be estimated freely, instead of forced to be zero.
To implement, toggle use_h0 = TRUE in fitAndCategorize() and figureModelCurves().
- Set default value of
threshold_t0_max_intto 1E10. - Fixed typo in object assignment of
decisionList$test.sm_tmax_IntensityRatio. - Fixed typo so that now the asymptote ratio (
parameterDF$finalAsymptoteIntensityRatio_Estimate) is also unnormalized, along with all other parameters. - Updated **ggplot** functions to have current syntax.
- Edited grammar and spelling throughout.
From NEWS.md in the release
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from: ‘dplyr’ All declared Imports should be used.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 21
- Examples that run
- 100%20 run in a plain check
- Exported functions with examples
- 95%
- Documented parameters
- 88%
- Return-value docs
- 95%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 0%
- Median days to close, 50 most recently updated closed issues
- 50
- Median days to close, 50 most recently updated closed PRs
- 632
PRs over time
5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/wilkelab/sicegar on 2026-10-22.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Installing sicegar adds 31 packages (15 with compiled code, 19 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, timeSeries 1.4 MB.
Code & Tests
People & History
Previously maintained by Claus O. Wilke (0.2.3 to 0.2.4) and M. Umut Caglar (0.1 to 0.2.2).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.3.0Latest2025-11-15 · current release · diff ↗ ·
added 7 exports
categorize_h0, doublesigmoidalFitFormula_h0, doublesigmoidalFitFunction_h0, multipleFitFunction_h0, parameterCalculation_h0, sigmoidalFitFormula_h0, sigmoidalFitFunction_h0 - RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.2.42021-05-08 · diff ↗
- RR 4.0.0 released · 2020-04-24
- unarchivedReturned to CRAN2019-08-23
- 0.2.32019-08-23 · diff ↗
- archivedRemoved from CRAN2019-07-27check problems were not corrected in time
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.2.22017-10-17 · diff ↗
- 0.22017-07-11 · diff ↗ ·
removed 6 exports
categorize_nosignal, fitFunction, lineFitFormula, lineFitFunction, numericalReCalculation, printInfectionCurvesadded 5 exports
figureModelCurves, fitAndCategorize, multipleFitFunction, parameterCalculation, preCategorize
Show 3 earlier eventsHide 3 earlier events
- RR 3.4.0 released · 2017-04-21
- 0.12017-03-19
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2017-03-19
- Total releases
- 6 / 9 yrs
- License
- GPL-2 | GPL-3 OSI
- Download size
- 522 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("sicegar")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.7717/peerj.4251.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.