Analysis of Plant Disease Epidemics

A toolbox to make it easy to analyze plant disease epidemics. It provides a common framework for plant disease intensity data recorded over time and/or space. Implemented statistical methods are currently mainly focused on spatial pattern analysis (e.g., aggregation indices, Taylor and binary power laws, distribution fitting, SADIE and 'mapcomp' methods). See Laurence V. Madden, Gareth Hughes, Franck van den Bosch (2007) for further information on these methods. Several data sets that were mainly published in plant disease epidemiology literature are also included in this package.

epiphy

Overview

epiphy makes it easy to analyze plant disease epidemics. It provides a common framework for plant disease intensity data recorded over time and/or space. Implemented statistical methods are currently mainly focused on spatial pattern analysis (e.g., aggregation indices, Taylor and binary power laws, distribution fitting, SADIE and mapcomp methods). Several data sets that were mainly published in plant disease epidemiology literature are also included in this package. The online documentation is available at https://chgigot.github.io/epiphy/.

Installation

Install the latest released version from CRAN:

install.packages("epiphy")

Install the latest development version from GitHub:

# install.packages("devtools")
devtools::install_github("chgigot/epiphy")