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epifitter: Analysis and Simulation of Plant Disease Progress Curves

Tools for analysis, visualization, and simulation of plant disease progress curves. Includes functions to calculate area-under-the-curve summaries, fit and compare exponential, monomolecular, logistic, and Gompertz models using linear or nonlinear regression, work with single or multiple epidemics, and produce 'ggplot2'-based visualizations. Also includes an experimental powdery mildew dataset for reproducible teaching and research workflows. See Madden, Hughes, and van den Bosch (2007) <doi:10.1094/9780890545058> for background on the epidemiological methods.

Version: 1.0.0
Depends: R (≥ 4.1)
Imports: DescTools, cowplot, deSolve, dplyr, ggplot2, magrittr, minpack.lm, stats, tibble, tidyr
Suggests: knitr, rmarkdown, lemon, testthat (≥ 3.0.0)
Published: 2026-04-12
DOI: 10.32614/CRAN.package.epifitter
Author: Kaique dos S. Alves ORCID iD [aut, cre], Emerson M. Del Ponte ORCID iD [aut], Adam H. Sparks ORCID iD [aut]
Maintainer: Kaique dos S. Alves <kaiquedsalves at gmail.com>
BugReports: https://github.com/AlvesKS/epifitter/issues
License: MIT + file LICENSE
URL: https://github.com/AlvesKS/epifitter, https://alvesks.github.io/epifitter/
NeedsCompilation: no
Citation: epifitter citation info
Materials: README, NEWS
In views: Agriculture, Epidemiology
CRAN checks: epifitter results

Documentation:

Reference manual: epifitter.html , epifitter.pdf
Vignettes: Area-under-the-curve summaries (source, R code)
Getting started with epifitter (source, R code)
Model fitting workflows (source, R code)
Working with the PowderyMildew dataset (source, R code)
Simulation workflows (source, R code)

Downloads:

Package source: epifitter_1.0.0.tar.gz
Windows binaries: r-release: epifitter_1.0.0.zip, r-oldrel: epifitter_1.0.0.zip
macOS binaries: r-release (arm64): epifitter_1.0.0.tgz, r-oldrel (arm64): epifitter_1.0.0.tgz, r-release (x86_64): epifitter_1.0.0.tgz, r-oldrel (x86_64): epifitter_1.0.0.tgz
Old sources: epifitter archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=epifitter to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.