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) for further information on the methods.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("epifitter")

0.1.0 by Kaique dos S. Alves, a month ago


https://github.com/AlvesKS/epifitter


Report a bug at https://github.com/AlvesKS/epifitter/issues


Browse source code at https://github.com/cran/epifitter


Authors: Kaique dos S. Alves [aut, cre] , Emerson M. Del Ponte [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports deSolve, dplyr, stats, ggplot2, knitr, tidyr, DescTools, minpack.lm, magrittr, tibble

Suggests rmarkdown, ggridges, cowplot


See at CRAN