Package: bvhar Type: Package Title: Bayesian Vector Heterogeneous Autoregressive Modeling Version: 2.4.1 Authors@R: c(person(given = "Young Geun", family = "Kim", email = "ygeunkimstat@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0001-8651-1167")), person(given = "Changryong", family = "Baek", role = "ctb")) Description: Tools to model and forecast multivariate time series including Bayesian Vector heterogeneous autoregressive (VHAR) model by Kim & Baek (2023) (). 'bvhar' can model Vector Autoregressive (VAR), VHAR, Bayesian VAR (BVAR), and Bayesian VHAR (BVHAR) models. License: MIT + file LICENSE URL: https://bvhar.baeconverse.org, https://github.com/ygeunkim/bvhar BugReports: https://github.com/ygeunkim/bvhar/issues Suggests: covr, knitr, parallel, rmarkdown, testthat (>= 3.0.0) Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.3 Imports: lifecycle, Rcpp, ggplot2, tidyr, tibble, dplyr, foreach, purrr, stats, optimParallel, posterior, bayesplot, utils LinkingTo: BH (>= 1.87.0-0), Rcpp (>= 0.10.0), RcppEigen (>= 0.3.4.0.0), RcppNumerical, RcppSpdlog, RcppThread VignetteBuilder: knitr Depends: R (>= 4.2.0) Config/testthat/edition: 3 NeedsCompilation: yes Packaged: 2026-10-26 07:48:11 UTC; root Author: Young Geun Kim [aut, cre, cph] (ORCID: ), Changryong Baek [ctb] Maintainer: Young Geun Kim Repository: https://cran.r-universe.dev Date/Publication: 2026-06-05 07:10:02 UTC RemoteUrl: https://github.com/cran/bvhar RemoteRef: HEAD RemoteSha: 5b77f68ffe8144faba0e1941ac91bdfd0c947581