dacca


  <code>dacca</code> is a <code>pomp</code> object containing census and cholera mortality data from the Dacca district of the former British province of Bengal over the years 1891 to 1940 together with a stochastic differential equation transmission model.
  The model is that of King et al. (2008).
  The parameters are the MLE for the SIRS model with seasonal reservoir.<p></p><p>  Data are provided courtesy of Dr. Menno J. Bouma, London School of Tropical Medicine and Hygiene.
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Tools for working with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models).  The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods.  It is also a versatile platform for implementation of inference methods for general POMP models.

Aaron King

pomp

Statistical Inference for Partially Observed Markov Processes

dacca function


  <code>dacca</code> is a <code>pomp</code> object containing census and cholera mortality data from the Dacca district of the former British province of Bengal over the years 1891 to 1940 together with a stochastic differential equation transmission model.
  The model is that of King et al. (2008).
  The parameters are the MLE for the SIRS model with seasonal reservoir.

  Data are provided courtesy of Dr. Menno J. Bouma, London School of Tropical Medicine and Hygiene.


dacca: Model of cholera transmission for historic Bengal.

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