The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
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 |
CRAN checks: | epiphy results |
Reference manual: | epiphy.pdf |
Vignettes: |
Definitions and relationships between parameters Analyzing plant disease epidemics with the R package epiphy |
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 |
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.
Health stats visible at Monitor.