Package: shrinkTVP Type: Package Title: Efficient Bayesian Inference for Time-Varying Parameter Models with Shrinkage Version: 3.1.2 Authors@R: c( person("Peter", "Knaus", email = "peter.knaus@wu.ac.at", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6498-7084")), person("Angela", "Bitto-Nemling", role = "aut"), person("Annalisa", "Cadonna", email = "annalisa.cadonna@wu.ac.at", role = "aut", comment = c(ORCID = "0000-0003-0360-7628")), person("Sylvia", "Frühwirth-Schnatter", email = "sylvia.fruehwirth-schnatter@wu.ac.at", role = "aut", comment = c(ORCID = "0000-0003-0516-5552")), person("Daniel", "Winkler", email = "daniel.winkler@wu.ac.at", role = "ctb"), person("Kemal", "Dingic", role = "ctb")) Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of time-varying parameter models with shrinkage priors, both dynamic and static. Details on the algorithms used are provided in Bitto and Frühwirth-Schnatter (2019) and Cadonna et al. (2020) and Knaus and Frühwirth-Schnatter (2023) . For details on the package, please see Knaus et al. (2021) . For the multivariate extension, see the 'shrinkTVPVAR' package. License: GPL (>= 2) Encoding: UTF-8 Depends: R (>= 3.3.0) Imports: Rcpp, GIGrvg, stochvol (>= 3.0.3), coda, methods, utils, zoo LinkingTo: Rcpp, RcppArmadillo, GIGrvg, RcppProgress, stochvol, RcppGSL RoxygenNote: 7.3.2 Suggests: testthat, knitr, rmarkdown, R.rsp VignetteBuilder: R.rsp NeedsCompilation: yes Packaged: 2026-10-20 10:35:28 UTC; root Author: Peter Knaus [aut, cre] (ORCID: ), Angela Bitto-Nemling [aut], Annalisa Cadonna [aut] (ORCID: ), Sylvia Frühwirth-Schnatter [aut] (ORCID: ), Daniel Winkler [ctb], Kemal Dingic [ctb] Maintainer: Peter Knaus Config/pak/sysreqs: libgsl0-dev Repository: https://neferkareii.r-universe.dev Date/Publication: 2026-07-13 16:00:02 UTC RemoteUrl: https://github.com/cran/shrinkTVP RemoteRef: HEAD RemoteSha: 05ebefc1004efd93936eceae76bb86556f937749