csfv: CSFV Transmission Experiment

In RLadyBug: Analysis of Infectious Diseases using Stochastic Epidemic Models

Description

Analysis of the transmission rates in the classical swine fever virus transmission experiment in the Dewulf et al. (2001) article.

Usage

data(csfv)

Details

The csfvML dataset is a version of csfv, where the exposure time is specified with an artificially assumed fixed incubation time of 6 days, except for the innoculated individual which has an incubation time of three days. This is rather ad hoc but allows us to calculate ML estimates.

The csfvTDprior dataset is a version of csfv, where rather strong priori distributions are assumed for the waiting time from exposure until diagnosis.

Note that respective csfv.opts, csfvML.opts and csfvTD.opts objects are loaded which provide an appropriate estimation method.

Source

An experimental infection with classical swine fever in E2 sub-unit marker-vaccine vaccinated and in non-vaccinated pigs, Vaccine 19, pages 475-482.

Examples

## Not run: data(csfv)
## Not run: seir(csfv,csfv.opts)

RLadyBug documentation built on May 2, 2019, 5:50 p.m.