Package: bvhar
Type: Package
Title: Bayesian Vector Heterogeneous Autoregressive Modeling
Version: 2.1.2
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) (<doi:10.1080/00949655.2023.2281644>).
    'bvhar' can model Vector Autoregressive (VAR), VHAR, Bayesian VAR (BVAR), and Bayesian VHAR (BVHAR) models.
License: GPL (>= 3)
URL: https://ygeunkim.github.io/package/bvhar/,
        https://github.com/ygeunkim/bvhar
BugReports: https://github.com/ygeunkim/bvhar/issues
Suggests: covr, GIGrvg, knitr, parallel, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
Imports: lifecycle, magrittr, Rcpp, ggplot2, tidyr, tibble, dplyr,
        foreach, purrr, stats, optimParallel, posterior, bayesplot
LinkingTo: BH (>= 1.84.0-0), Rcpp, RcppEigen(>= 0.3.4.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.6.0)
Roxygen: list(markdown = TRUE)
Config/testthat/edition: 3
Author: Young Geun Kim [aut, cre, cph]
    (<https://orcid.org/0000-0001-8651-1167>),
  Changryong Baek [ctb]
Maintainer: Young Geun Kim <ygeunkimstat@gmail.com>
Built: R 4.4.2; x86_64-apple-darwin23.6.0; 2024-11-07 22:38:34 UTC; unix
