Package: bayesSSM
Type: Package
Title: Bayesian Methods for State Space Models
Version: 0.7.1
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
NeedsCompilation: yes
Packaged: 2025-12-06 08:01:03 UTC; bjarke
Author: Bjarke Hautop [aut, cre, cph]
Maintainer: Bjarke Hautop <bjarke.hautop@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-06 16:30:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 23:45:02 UTC; unix
Archs: bayesSSM.so.dSYM
