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epifitter

Analysis and Simulation of Plant Disease Progress Curves

v0.3.0 · Jun 14, 2021 · MIT + file LICENSE

Description

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.

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dependencies in R code

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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘knitr’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘knitr’
  All declared Imports should be used.

Dependency Network

Dependencies Reverse dependencies deSolve dplyr ggplot2 knitr tidyr DescTools minpack.lm magrittr tibble epifitter

Version History

new 0.3.0 Mar 10, 2026
updated 0.3.0 ← 0.2.0 diff Jun 13, 2021
updated 0.2.0 ← 0.1.0 diff Nov 25, 2020
new 0.1.0 Oct 28, 2020