Package: mtarm
Type: Package
Title: Bayesian Estimation of Multivariate Threshold Autoregressive
        Models
Version: 0.1.9
url: https://lhvanegasp.github.io/mtarm/
Authors@R: c(person("Luis Hernando","Vanegas",role=c("aut","cre"),email="lhvanegasp@unal.edu.co"),
             person("Sergio Alejandro","Calderón",role="aut",email="sacalderonv@unal.edu.co"),             
             person("Luz Marina","Rondón",role="aut",email="lmrondonp@unal.edu.co"))
Author: Luis Hernando Vanegas [aut, cre], Sergio Alejandro Calderón
        [aut], Luz Marina Rondón [aut]
Maintainer: Luis Hernando Vanegas <lhvanegasp@unal.edu.co>
Description: Estimation, inference and forecasting using the Bayesian
        approach for multivariate threshold autoregressive (TAR) models
        in which the distribution used to describe the noise process
        belongs to the class of Gaussian variance mixtures.
Imports: methods, stats, utils, graphics, Formula, grDevices, GIGrvg,
        coda, mvtnorm, future.apply, progressr, future
Suggests: cli, knitr, rmarkdown, testthat (>= 3.0.0)
BugReports: https://github.com/lhvanegasp/mtarm/issues
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.3.3
NeedsCompilation: no
License: GPL-2 | GPL-3
Config/testthat/edition: 3
URL: https://lhvanegasp.github.io/mtarm/
VignetteBuilder: knitr
Repository: https://lhvanegasp.r-universe.dev
Date/Publication: 2026-06-10 21:48:05 UTC
RemoteUrl: https://github.com/lhvanegasp/mtarm
RemoteRef: HEAD
RemoteSha: a0d657728dfd5479416c1ee14b2b41a8e61481e6
Packaged: 2026-06-10 23:20:22 UTC; root