Package: stochasticGEM
Version: 0.0-1
Date: 2007-02-25
Title: R Package for Fitting Stochastic General Epidemic Models
Author: Eugene Zwane <e.zwane@gmail.com>.
Maintainer: Eugene Zwane <e.zwane@gmail.com>
Depends: R (>= 2.4.0), coda
Description: stochasticGEM is a publicly available package that
        implements Bayesian inference for partially observed stochastic
        epidemics. The general epidemic model is used for estimating
        the parameters governing the infectious and incubation period
        length, and the parameters governing susceptibility. In
        real-life epidemics the infection process is unobserved, and
        the data consists of the times individuals are detected,
        usually via appearance of symptoms. The stochasticGEM package
        fits several variants of the general epidemic model, namely the
        stochastic SIR with Markovian and nonMarkovian infectious
        periods. The estimation is based on Markov chain Monte Carlo
        algorithm.
LazyLoad: yes
LazyData: yes
License: GPL (version 2 or later)
Packaged: Thu Apr 26 15:46:50 2007; Administrator
Built: R 2.11.0; universal-apple-darwin9.8.0; 2010-04-06 18:59:33 UTC; unix
