CRAN/E | gmvarkit

gmvarkit

Estimate Gaussian and Student's t Mixture Vector Autoregressive Models

Installation

About

Unconstrained and constrained maximum likelihood estimation of structural and reduced form Gaussian mixture vector autoregressive, Student's t mixture vector autoregressive, and Gaussian and Student's t mixture vector autoregressive models, quantile residual tests, graphical diagnostics, simulations, forecasting, and estimation of generalized impulse response function and generalized forecast error variance decomposition. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2016) doi:10.1016/j.jeconom.2016.02.012, Savi Virolainen (forthcoming) doi:10.1080/07350015.2024.2322090, Savi Virolainen (2022) .

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Key Metrics

Version 2.1.2
R ≥ 3.6.0
Published 2024-02-29 62 days ago
Needs compilation? no
License GPL-3
CRAN checks gmvarkit results

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Maintainer

Maintainer

Savi Virolainen

savi.virolainen@helsinki.fi

Authors

Savi Virolainen

aut / cre

Material

README
NEWS
Reference manual
Package source

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gmvarkit: A Family of Mixture Vector Autoregressive Models in R

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gmvarkit archive

Depends

R ≥ 3.6.0

Imports

Brobdingnag ≥ 1.2-4
mvnfast ≥ 0.2.5
parallel ≥3.0.0
stats ≥ 3.0.0
pbapply ≥ 1.4-2
graphics ≥3.0.0
grDevices ≥ 3.0.0
gsl ≥ 2.1-6
methods ≥3.0.0

Suggests

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