Estimating Plant Pathogen Epidemiology Parameters from Laboratory Assays
Overview
Provides functions for estimating plant pathogen parameters from access period (AP) experiments. Separate functions are implemented for semi-persistently transmitted (SPT) and persistently transmitted (PT) pathogens. The common AP experiment exposes insect cohorts to infected source plants, healthy test plants, and intermediate plants (for PT pathogens). The package allows estimation of acquisition and inoculation rates during feeding, recovery rates, and latent progression rates (for PT pathogens). Additional functions support inference of epidemic risk from pathogen and local parameters, and also simulate AP experiment data. The functions implement probability models for epidemiological analysis, as derived in Donnelly et al. (2025), doi:10.32942/X29K9P. These models were originally implemented in the 'EpiPv' 'GitHub' package.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-29
- ERROR12 OK, 1 ERROR2026-07-27
- OK12 OK2026-04-25
Show 3 earlier changesHide 3 earlier changes
- NOTE11 OK, 3 NOTE2026-04-22
- ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 11 (5 internal)includes a package overview page
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 36%
Downloads
Dependencies
Installing EpiPvr adds 48 packages (22 with compiled code, 43 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, loo 2.7 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- 0.0.1Latest2025-10-01 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-10-01
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 0.9 KB / 2 files
- Download size
- 936 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("EpiPvr")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.