Package: bssm
Type: Package
Title: Bayesian Inference of State Space Models
Version: 0.1.0
Date: 2017-06-24
Author: Jouni Helske, Matti Vihola
Maintainer: Jouni Helske <jouni.helske@iki.fi>
Description: 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.
License: GPL (>= 2)
Depends: R (>= 3.1.3)
Suggests: KFAS (>= 1.2.1), knitr (>= 1.11), rmarkdown (>= 0.8.1),
        testthat, bayesplot
Imports: coda (>= 0.18-1), diagis, ggplot2 (>= 2.0.0), Rcpp (>= 0.12.3)
LinkingTo: BH, Rcpp, RcppArmadillo, ramcmc
SystemRequirements: C++11
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-06-24 13:53:46 UTC; jouni
Repository: CRAN
Date/Publication: 2017-06-25 07:14:15 UTC
