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epifitter: Analysis and Simulation of Plant Disease Progress Curves

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 <kaiquedsalves at gmail.com>
BugReports:https://github.com/AlvesKS/epifitter/issues
License:MIT + fileLICENSE
URL:https://github.com/AlvesKS/epifitter
NeedsCompilation:no
Materials:README,NEWS
In views:Agriculture,Epidemiology
CRAN checks:epifitter results

Documentation:

Reference manual:epifitter.html ,epifitter.pdf
Vignettes:Fitting and selecting models (source,R code)
Simulating disease progress curves (source,R code)

Downloads:

Package source: epifitter_0.3.0.tar.gz
Windows binaries: r-devel:epifitter_0.3.0.zip, r-release:epifitter_0.3.0.zip, r-oldrel:epifitter_0.3.0.zip
macOS binaries: r-release (arm64):epifitter_0.3.0.tgz, r-oldrel (arm64):epifitter_0.3.0.tgz, r-release (x86_64):epifitter_0.3.0.tgz, r-oldrel (x86_64):epifitter_0.3.0.tgz
Old sources: epifitter archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=epifitterto link to this page.


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