Package: bayesSSM
Type: Package
Title: Bayesian Methods for State Space Models
Version: 0.7.1.9000
Authors@R: c(
    person(
      "Bjarke", "Hautop",
      email = "bjarke.hautop@gmail.com",
      role = c("aut", "cre", "cph")
    )
  )
Description: Implements methods for Bayesian analysis of State Space
        Models. Includes implementations of the Particle Marginal
        Metropolis-Hastings algorithm described in Andrieu et al.
        (2010) <doi:10.1111/j.1467-9868.2009.00736.x> and automatic
        tuning inspired by Pitt et al. (2012)
        <doi:10.1016/j.jeconom.2012.06.004> and J. Dahlin and T. B.
        Schön (2019) <doi:10.18637/jss.v088.c02>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: MASS, stats, dplyr, future, future.apply, Rcpp, checkmate
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, tidyr,
        extraDistr, rlang, expm
Config/testthat/edition: 3
URL: https://github.com/BjarkeHautop/bayesSSM,
        https://bjarkehautop.github.io/bayesSSM/
BugReports: https://github.com/BjarkeHautop/bayesSSM/issues
VignetteBuilder: knitr
Config/Needs/website: rmarkdown
Repository: https://bjarkehautop.r-universe.dev
Date/Publication: 2025-12-16 07:17:55 UTC
RemoteUrl: https://github.com/bjarkehautop/bayesssm
RemoteRef: HEAD
RemoteSha: 40b765c400957048e9b42d05dfc8b0d99dd150c7
NeedsCompilation: yes
Packaged: 2026-10-13 09:15:03 UTC; root
Author: Bjarke Hautop [aut, cre, cph]
Maintainer: Bjarke Hautop <bjarke.hautop@gmail.com>