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.
Version: 0.9.24 Depends: forecast, ggplot2 Imports: Rsolnp, nloptr, pracma, signal, zoo, lubridate, rlang, crayon, utils Suggests: longmemo, yardstick, testthat (≥ 3.0.0), knitr, rmarkdown Published: 2025-03-16 DOI: 10.32614/CRAN.package.garma Author: Richard Hunt [aut, cre] Maintainer: Richard Hunt <maint at huntemail.id.au> License: GPL-3 URL: https://github.com/rlph50/garma NeedsCompilation: no Materials: README NEWS In views: TimeSeries CRAN checks: garma results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=garma to link to this page.
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