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TAR

Bayesian Modeling of Autoregressive Threshold Time Series Models

Installation

About

Identification and estimation of the autoregressive threshold models with Gaussian noise, as well as positive-valued time series. The package provides the identification of the number of regimes, the thresholds and the autoregressive orders, as well as the estimation of remain parameters. The package implements the methodology from the 2005 paper: Modeling Bivariate Threshold Autoregressive Processes in the Presence of Missing Data doi:10.1081/STA-200054435.

Key Metrics

Version 1.0
Published 2017-02-24 2224 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks TAR results

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Maintainer

Maintainer

Hanwen Zhang

hanwengutierrez@gmail.com

Authors

Hanwen Zhang
Fabio H. Nieto

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

mvtnorm