Package: epiphy 0.5.0.9000
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.
Authors:
epiphy_0.5.0.9000.tar.gz
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epiphy.pdf |epiphy.html✨
epiphy/json (API)
NEWS
| # Install 'epiphy' in R: |
| install.packages('epiphy', repos = c('https://chgigot.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/chgigot/epiphy/issues
- aphids - Counts of aphids.
- arthropods - Counts of arthropods.
- citrus_ctv - Incidence of citrus tristeza virus (CTV) disease in three fields.
- codling_moths - Count of codling moth larvae.
- dogwood_anthracnose - Incidence of dogwood anthracnose.
- hop_viruses - Incidence of three viruses in an Australian hop garden.
- offspring_survival - Offspring survival of rats experiencing different diets.
- onion_bacterial_blight - Incidence of bacterial blight of onion.
- pyrethrum_ray_blight - Incidence of ray blight disease of pyrethrum.
- simulated_epidemics - Examples of simulated epidemic data.
- tobacco_viruses - Incidence of tobacco plants infected with viruses.
- tomato_tswv - Incidence of tomato spotted wilt virus (TSWV) disease in field trials.
Last updated 1 years agofrom:019e19d9ce. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win-x86_64 | OK | Oct 27 2024 |
| R-4.5-linux-x86_64 | OK | Oct 27 2024 |
| R-4.4-win-x86_64 | OK | Oct 27 2024 |
| R-4.4-mac-x86_64 | OK | Oct 27 2024 |
| R-4.4-mac-aarch64 | OK | Oct 27 2024 |
| R-4.3-win-x86_64 | OK | Oct 27 2024 |
| R-4.3-mac-x86_64 | OK | Oct 27 2024 |
| R-4.3-mac-aarch64 | OK | Oct 27 2024 |
Exports:a2aagg_indexcalpha.testchisq.testcloglogclumpcountcount_datadbetabinomfit_two_distrincidenceincidence_dataind2subis.countis.incidenceis.intensityis.severitylogitmapcompmapped_varmapped_var<-mappingmapping_pbetabinompower_lawprobitqbetabinomrbetabinomremapsadieseverityseverity_datasmlesmle_betabinomsmle_binomsmle_nbinomsmle_poisspatial_hiersub2indthresholdz.test
Dependencies:clicolorspacedata.tableexpmfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmsmmunsellmvtnormnlmepbapplypillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalessurvivaltibbletransportutf8vctrsviridisLitewithr
Analyzing plant disease epidemics with the R package epiphy
Rendered fromepiphy.Rmdusingknitr::rmarkdownon Oct 27 2024.Last update: 2018-05-20
Started: 2018-05-12
Definitions and relationships between parameters
Rendered fromdefs-and-eqns.Rmdusingknitr::rmarkdownon Oct 27 2024.Last update: 2018-05-12
Started: 2018-02-08
