This repository contains a development version of hhh4addon, an add-on package to the surveillance package. hhh4addon adds functionality to surveillance:hhh4 which implements endemic-epidemic modelling for infectious disease count time series.

Fits an autoregressive Poisson or negative binomial model to a univariate or multivariate time series of counts. The characteristic feature of hhh4 models is the additive decomposition of the conditional mean into epidemic and endemic components (Held et al, 2005).

2024年10月2日 · Fitting HHH Models with Random Effects and Neighbourhood Structure Description. Fits an autoregressive Poisson or negative binomial model to a univariate or multivariate time series of counts. The characteristic feature of hhh4 models is the additive decomposition of the conditional mean into epidemic and endemic components (Held et al, 2005 ...

Overviews of the outbreak detection functionality of surveillance are given by Höhle and Mazick (2010) and Salmon et al. (2016). This document illustrates the functionality of the function hhh4 for the modelling of uni-variate and multivariate time series of infectious disease counts. It is part of the surveillance package as of version 1.3.

See vignette("hhh4") for a more general introduction to hhh4 models, including the uni-variate and non-spatial bivariate case.

There are six type s of plots for fitted hhh4 models: Plot the "fitted" component means (of selected units) along time along with the observed counts. Plot the estimated "season" ality of the three …

This introduction to spatio-temporal hhh4 models implemented in the R package surveillance is based on a publication in the Journal of Statistical Software – Meyer, Held, and Höhle (2017, Section 5) – which is the suggested reference if you use …

Fits an autoregressive Poisson or negative binomial model to a univariate or multivariate time series of counts. The characteristic feature of hhh4 models is the additive decomposition of the conditional mean into epidemic and endemic components (Held et al, 2005).

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This document gives an introduction to the use of the function hhh4 for modelling univariate and multivariate time series of infectious disease counts and the modelling framework proposed by Held et al. (2005).