Deterministic_modelR_mosqpop: Deterministic SEIR-SEI function with no age structure

In a-henderson91/vectorbornefit: MCMC fit SEIR model of vetor borne transmission

Description

This function solves an SEIR-SEI vector borne disease model.

Usage

Deterministic_modelR_mosqpop(theta, theta_init, locationI, seroposdates,
  episeason, include.count = T)

Arguments

theta	Vector of parameters for model
theta_init	Vector of initial conditions for model
locationI	Name of location of data
seroposdates	Vector with dates of seroprevalence surveys
episeason	Vector with start and end point of epidemic case data
include.count	True or False - whether to include count data in likelihood. Defaults to True
agestructure	Binary indicator variable if model is age structured (1) or not (0) between children and adults. Defaults to NULL in which case no sampling happens

Examples

Deterministic_modelR(c(thetatab[1,],thetaAlltab[1,iiH,]), theta_initAlltab[1,iiH,],locationI=locationtab[iiH],seroposdates= c(as.Date("2013-11-25"), as.Date("2015-11-02")), episeason=c(as.Date("2016-02-22"), as.Date("2016-06-06")))

a-henderson91/vectorbornefit documentation built on May 27, 2019, 8:44 a.m.