Package: bssm
Type: Package
Title: Bayesian Inference of Non-Linear and Non-Gaussian State Space
        Models
Version: 0.1.7
Date: 2019-04-04
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 and parallel importance sampling type weighted 
    Markov chain Monte Carlo (Vihola, Helske, and Franks, 2017, <arXiv:1609.02541>). 
    Gaussian, Poisson, binomial, or negative binomial 
    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: bayesplot, KFAS (>= 1.2.1), knitr (>= 1.11), MASS, ramcmc,
        rmarkdown (>= 0.8.1), sde, sitmo, testthat
Imports: coda (>= 0.18-1), diagis, ggplot2 (>= 2.0.0), Rcpp (>= 0.12.3)
LinkingTo: BH, Rcpp, RcppArmadillo, ramcmc, sitmo
SystemRequirements: C++11
RoxygenNote: 6.1.1
VignetteBuilder: knitr
BugReports: https://github.com/helske/bssm/issues
ByteCompile: true
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-04-09 13:22:28 UTC; jouhe21
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: 2019-04-09 21:36:12 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 22:17:29 UTC; windows
Archs: i386, x64
