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epiphy: 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) <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 ORCID iD [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:

Reference manual: epiphy.pdf
Vignettes: Definitions and relationships between parameters
Analyzing plant disease epidemics with the R package epiphy

Downloads:

Package source: epiphy_0.5.0.tar.gz
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): epiphy_0.5.0.tgz
Old sources: epiphy archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=epiphy to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.