bssm (0.1.1-1)

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Bayesian Inference of State Space Models.

Efficient methods for Bayesian inference of state space models via particle Markov chain Monte Carlo and importance sampling type corrected Markov chain Monte Carlo. Gaussian, Poisson, binomial, or negative binomial observation densities and Gaussian state dynamics, as well as general non-linear Gaussian models are supported.

Maintainer: Jouni Helske
Author(s): Jouni Helske, Matti Vihola

License: GPL (>= 2)

Uses: coda, diagis, ggplot2, Rcpp, KFAS, testthat, knitr, rmarkdown, bayesplot

Released 4 months ago.

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