Package: bssm
Type: Package
Title: Bayesian Inference of Non-Gaussian State Space Models
Version: 1.0.0
Date: 2020-06-09
Authors@R: 
    c(person(given = "Jouni",
           family = "Helske",
           role = c("aut", "cre"),
           email = "jouni.helske@iki.fi",
           comment = c(ORCID = "0000-0001-7130-793X")),
      person(given = "Matti",
           family = "Vihola",
           role = "aut",
           comment = c(ORCID = "0000-0002-8041-7222")))
Description: Efficient methods for Bayesian inference of state space models 
    via particle Markov chain Monte Carlo (MCMC) and MCMC based on parallel 
    importance sampling type weighted estimators 
    (Vihola, Helske, and Franks, 2020, <arXiv:1609.02541>). 
    Gaussian, Poisson, binomial, negative binomial, and Gamma
    observation densities and basic stochastic volatility models with Gaussian state 
    dynamics, as well as general non-linear Gaussian models and discretised 
    diffusion models are supported.
License: GPL (>= 2)
Depends: R (>= 3.1.3)
Suggests: dplyr, ggplot2 (>= 2.0.0), Hmisc, KFAS (>= 1.2.1), knitr (>=
        1.11), MASS, ramcmc, rmarkdown (>= 0.8.1), sde, sitmo, testthat
Imports: coda (>= 0.18-1), diagis, Rcpp (>= 0.12.3)
LinkingTo: Rcpp, RcppArmadillo, ramcmc, sitmo
SystemRequirements: C++11
RoxygenNote: 7.1.0
VignetteBuilder: knitr
BugReports: https://github.com/helske/bssm/issues
ByteCompile: true
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-06-09 13:31:25 UTC; jovetale
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>),
  Matti Vihola [aut] (<https://orcid.org/0000-0002-8041-7222>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>
Repository: CRAN
Date/Publication: 2020-06-09 15:20:07 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2020-08-05 07:34:08 UTC; windows
Archs: i386, x64
