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.


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0.1.0 by Kaique dos S. Alves, a month ago

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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