Package: garma
Type: Package
Title: Fitting and Forecasting Gegenbauer ARMA Time Series Models
Version: 1.0.1
Date: 2026-02-07
Authors@R: person("Richard", "Hunt", email = "maint@huntemail.id.au",
  role = c("aut", "cre"))
Maintainer: Richard Hunt <maint@huntemail.id.au>
Description: Methods for estimating univariate long
        memory-seasonal/cyclical Gegenbauer time series processes. See
        for example (2022) <doi:10.1007/s00362-022-01290-3>. Refer to
        the vignette for details of fitting these processes.
License: GPL-3
URL: https://github.com/rlph50/garma
Encoding: UTF-8
Depends: forecast, ggplot2
Imports: Rsolnp, nloptr, pracma, signal, zoo, lubridate, rlang, crayon,
        utils
Suggests: longmemo, yardstick, testthat (>= 3.0.0), knitr, rmarkdown
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/pak/sysreqs: cmake
Repository: https://rlph50.r-universe.dev
Date/Publication: 2026-02-07 02:40:02 UTC
RemoteUrl: https://github.com/rlph50/garma
RemoteRef: HEAD
RemoteSha: 9d021a79a682d66c0ae1a95875746b3192a9d2d3
NeedsCompilation: no
Packaged: 2026-10-05 10:30:20 UTC; root
Author: Richard Hunt [aut, cre]