CRAN/E | uGMAR

uGMAR

Estimate Univariate Gaussian and Student's t Mixture Autoregressive Models

Installation

About

Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive (GMAR), Student's t Mixture Autoregressive (StMAR), and Gaussian and Student's t Mixture Autoregressive (G-StMAR) models, quantile residual tests, graphical diagnostics, forecast and simulate from GMAR, StMAR and G-StMAR processes. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) doi:10.1111/jtsa.12108, Mika Meitz, Daniel Preve, Pentti Saikkonen (2023) doi:10.1080/03610926.2021.1916531, Savi Virolainen (2022) doi:10.1515/snde-2020-0060.

Bug report File report

Key Metrics

Version 3.4.5
R ≥ 3.4.0
Published 2023-08-19 256 days ago
Needs compilation? no
License GPL-3
CRAN checks uGMAR results

Downloads

Yesterday 5 -69%
Last 7 days 132 -2%
Last 30 days 453 -10%
Last 90 days 1.448 -21%
Last 365 days 6.750 +4%

Maintainer

Maintainer

Savi Virolainen

savi.virolainen@helsinki.fi

Authors

Savi Virolainen

aut / cre

Material

README
NEWS
Reference manual
Package source

In Views

TimeSeries

Vignettes

uGMAR: A Family of Mixture Autoregressive Models in R

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

Old Sources

uGMAR archive

Depends

R ≥ 3.4.0

Imports

Brobdingnag ≥ 1.2-4
parallel
pbapply ≥ 1.3-2
stats ≥ 3.3.2
gsl ≥ 1.9-10.3

Suggests

testthat
knitr
rmarkdown