We give an overview of the different software tools available in proglang{R}, either as built-in functions or contributed packages, for the analysis of state space models. We discuss reliable functions and packages for linear Gaussian state space modeling, including multivariate and time-varying models, as well as for hidden Markov models.

State Space Models in R

PETRONE, SONIA
2011

Abstract

We give an overview of the different software tools available in proglang{R}, either as built-in functions or contributed packages, for the analysis of state space models. We discuss reliable functions and packages for linear Gaussian state space modeling, including multivariate and time-varying models, as well as for hidden Markov models.
2011
G., Petris; Petrone, Sonia
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11565/3724913
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