Estimating Plant Pathogen Epidemiology Parameters from Laboratory Assays
Main function for AP assay simulation
Simulate AP assay data for individual insects
Main function for calculating epidemic probability
The EpiPvr package
Estimate PT virus parameters using Bayesian inference with rstan
Estimate SPT virus parameters using Bayesian inference with rstan
Safely generate random exponential data
Helper function for effective inoculation period calculator
Compute Epidemic Probability via Transition and Fertility Matrices
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.