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Routines for state estimate in a linear Gaussian state space model and a simple stochastic volatility model using particle filtering. Parameter inference is also carried out in these models using the particle MetropolisHastings algorithm that includes the particle filter to provided an unbiased estimator of the likelihood. This package is a collection of minimal working examples of these algorithms and is only meant for educational use and as a start for learning to them on your own.
Package details 


Author  Johan Dahlin <johan.dahlin@liu.se> 
Date of publication  20160119 18:04:57 
Maintainer  Johan Dahlin <johan.dahlin@liu.se> 
License  GPL2 
Version  1.0.0 
URL  https://github.com/compops/pmhtutorial 
Package repository  View on CRAN 
Installation 
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