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bayesSSM: Bayesian Methods for State Space Models

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>.

Version:0.7.1
Imports:MASS, stats,dplyr,future,future.apply,Rcpp,checkmate
LinkingTo:Rcpp
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0),ggplot2,tidyr,extraDistr,rlang,expm
Published:2025-12-06
DOI:10.32614/CRAN.package.bayesSSM
Author:Bjarke Hautop [aut, cre, cph]
Maintainer:Bjarke Hautop <bjarke.hautop at gmail.com>
BugReports:https://github.com/BjarkeHautop/bayesSSM/issues
License:MIT + fileLICENSE
URL:https://github.com/BjarkeHautop/bayesSSM,https://bjarkehautop.github.io/bayesSSM/
NeedsCompilation:yes
Materials:README,NEWS
In views:TimeSeries
CRAN checks:bayesSSM results

Documentation:

Reference manual:bayesSSM.html ,bayesSSM.pdf
Vignettes:bayesSSM (source,R code)

Downloads:

Package source: bayesSSM_0.7.1.tar.gz
Windows binaries: r-devel:bayesSSM_0.7.1.zip, r-release:bayesSSM_0.7.1.zip, r-oldrel:bayesSSM_0.7.1.zip
macOS binaries: r-release (arm64):bayesSSM_0.7.1.tgz, r-oldrel (arm64):bayesSSM_0.7.1.tgz, r-release (x86_64):bayesSSM_0.7.1.tgz, r-oldrel (x86_64):bayesSSM_0.7.1.tgz
Old sources: bayesSSM archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bayesSSMto link to this page.


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