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.
Version: 0.5.0 Depends: R (≥ 4.0) Imports: stats, methods, utils, grDevices, ggplot2, transport, msm, pbapply, Rcpp LinkingTo: Rcpp Suggests: magrittr, dplyr, tidyr, spdep, emdist, vegan, MASS, emdbook, knitr, rmarkdown Published: 2023-11-16 DOI: 10.32614/CRAN.package.epiphy Author: Christophe Gigot [aut, cre, cph], Adam H. Sparks [ctb], Katrin Leinweber [ctb] Maintainer: Christophe Gigot <ch.gigot at gmail.com> BugReports: https://github.com/chgigot/epiphy/issues License: MIT + file LICENSE URL: https://github.com/chgigot/epiphy, https://chgigot.github.io/epiphy/ NeedsCompilation: yes Materials: README NEWS In views: Agriculture, Epidemiology CRAN checks: epiphy results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=epiphy to link to this page.
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