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) <doi:10.1094/9780890545058> for further information on these methods. Several data sets that were mainly published in plant disease epidemiology literature are also included in this package.
|Depends:||R (≥ 4.0)|
|Imports:||stats, methods, utils, grDevices, ggplot2, transport, msm, pbapply, Rcpp|
|Suggests:||magrittr, dplyr, tidyr, spdep, emdist, vegan, MASS, emdbook, knitr, rmarkdown|
|Author:||Christophe Gigot [aut, cre, cph], Adam H. Sparks [ctb], Katrin Leinweber [ctb]|
|Maintainer:||Christophe Gigot <ch.gigot at gmail.com>|
|License:||MIT + file LICENSE|
|CRAN checks:||epiphy results|
Definitions and relationships between parameters
Analyzing plant disease epidemics with the R package epiphy
|Windows binaries:||r-devel: epiphy_0.5.0.zip, r-release: epiphy_0.5.0.zip, r-oldrel: epiphy_0.5.0.zip|
|macOS binaries:||r-release (arm64): epiphy_0.5.0.tgz, r-oldrel (arm64): epiphy_0.5.0.tgz, r-release (x86_64): epiphy_0.5.0.tgz, r-oldrel (x86_64): not available|
|Old sources:||epiphy archive|
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