Package: uGMAR
Title: Estimate Univariate Gaussian or Student's t Mixture
        Autoregressive Model
Version: 3.2.2
Authors@R: person("Savi", "Virolainen", email = "savi.virolainen@helsinki.fi", role = c("aut", "cre"))
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. 
    Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) <doi:10.1111/jtsa.12108>, 
    Mika Meitz, Daniel Preve, Pentti Saikkonen (2018) <arXiv:1805.04010>.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Brobdingnag (>= 1.2-4), parallel, pbapply (>= 1.3-2), stats
        (>= 3.3.2)
Suggests: gsl (>= 1.9-10.3), testthat, knitr, rmarkdown
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-16 19:35:48 UTC; savi
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>
Repository: CRAN
Date/Publication: 2020-01-16 20:10:03 UTC
