uGMAR

Estimate Univariate Gaussian or Student's t Mixture Autoregressive Model

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. Also general linear constraints and restricting autoregressive parameters to be the same for all regimes are supported. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) <doi:10.1111/jtsa.12108>, Leena Kalliovirta (2012) <doi:10.1111/j.1368-423X.2011.00364.x>.

Total

1,449

Last month

138

Last week

38

Average per day

5

Daily downloads

Total downloads

Description file content

Package
uGMAR
Title
Estimate Univariate Gaussian or Student's t Mixture Autoregressive Model
Version
2.0.2
Description
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. Also general linear constraints and restricting autoregressive parameters to be the same for all regimes are supported. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) , Leena Kalliovirta (2012) .
Depends
R (>= 3.4.0)
License
GPL-3
Encoding
UTF-8
LazyData
true
Imports
Brobdingnag (>= 1.2-4), parallel, stats (>= 3.3.2)
Suggests
gsl (>= 1.9-10.3), pbapply (>= 1.3-2), testthat, knitr, rmarkdown
RoxygenNote
6.0.1
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2018-07-05 16:16:27 UTC; savi
Author
Savi Virolainen [aut, cre]
Maintainer
Savi Virolainen
Repository
CRAN
Date/Publication
2018-07-05 16:50:03 UTC

install.packages('uGMAR')

2.0.2

13 days ago

Savi Virolainen

GPL-3

Depends on

R (>= 3.4.0)

Imports

Brobdingnag (>= 1.2-4), parallel, stats (>= 3.3.2)

Suggests

gsl (>= 1.9-10.3), pbapply (>= 1.3-2), testthat, knitr, rmarkdown

Discussions