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 Madden LV, Hughes G, van den Bosch F (2007, ISBN: 978-089054-354-2) 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: | 0.3.4 |
Depends: | R (≥ 2.15.1) |
Imports: | stats, methods, utils, grDevices, ggplot2, transport, msm, pbapply, Rcpp |
LinkingTo: | Rcpp |
Suggests: | magrittr, dplyr, tidyr, spdep, emdist, vegan, MASS, emdbook, knitr, rmarkdown |
Published: | 2018-05-24 |
Author: | Christophe Gigot [aut, cre] |
Maintainer: | Christophe Gigot <ch.gigot at gmail.com> |
BugReports: | https://github.com/chgigot/epiphy/issues |
License: | MIT + file LICENSE |
URL: | http://epiphy.org, https://github.com/chgigot/epiphy |
NeedsCompilation: | yes |
Materials: | README NEWS |
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_0.3.4.tar.gz |
Windows binaries: | r-devel: epiphy_0.3.4.zip, r-release: epiphy_0.3.4.zip, r-oldrel: epiphy_0.3.4.zip |
macOS binaries: | r-release: epiphy_0.3.4.tgz, r-oldrel: epiphy_0.3.4.tgz |
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