doi:10.1094/9780890545058> for further information on the methods.">

epifitter: Analysis and Simulation of Plant Disease Progress Curves (original) (raw)

Analysis and visualization of plant disease progress curve data. Functions for fitting two-parameter population dynamics models (exponential, monomolecular, logistic and Gompertz) to proportion data for single or multiple epidemics using either linear or no-linear regression. Statistical and visual outputs are provided to aid in model selection. Synthetic curves can be simulated for any of the models given the parameters. See Laurence V. Madden, Gareth Hughes, and Frank van den Bosch (2007) <doi:10.1094/9780890545058> for further information on the methods.

Version: 0.3.0
Depends: R (≥ 3.2)
Imports: deSolve, dplyr, stats, ggplot2, knitr, tidyr, DescTools, minpack.lm, magrittr, tibble
Suggests: rmarkdown, ggridges, cowplot
Published: 2021-06-14
DOI: 10.32614/CRAN.package.epifitter
Author: Kaique dos S. AlvesORCID iD [aut, cre], Emerson M. Del PonteORCID iD [aut]
Maintainer: Kaique dos S. Alves
BugReports: https://github.com/AlvesKS/epifitter/issues
License: MIT + file
URL: https://github.com/AlvesKS/epifitter
NeedsCompilation: no
Materials: README, NEWS
In views: Agriculture, Epidemiology
CRAN checks: epifitter results

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