Provides a set of tools for aiding in the visualization, description, and comparison of plant disease progress curve (DPC) data. A DPC depict the change in a disease-intensity variable measured sequentially at different times during the epidemics. Their analysis, that may include fitting “classic” population dynamics models (e.g. logistic, monomolecular, Gompertz), allows gaining understanding of the epidemiological processes, but is most used for comparing epidemics.
The mathematics behind model fitting is straightforward and
general-purpose spreadsheet or statistical softwares can be used to
perform the calculations and select the “best” model. What
epifitter does is to provide the analyst with R functions
for performing several tasks commonly used for the temporal analysis of
epidemics, including graphical output.
Current implementation includes functions for the analyst to:
Install the stable release from CRAN.
install.packages("epifitter")The development version of epifitter is available from GitHub. The devtools package, available from CRAN, is required for installation.
if (!require(devtools)) {
install.packages("devtools")
}
devtools::install_github("AlvesKS/epifitter")