Methods for estimating univariate long memory-seasonal/cyclical
Gegenbauer time series processes. See for example (2018) <doi:10.1214/18-STS649>.
Refer to the vignette for details of fitting these processes.
| Version: |
0.9.11 |
| Depends: |
forecast, ggplot2 |
| Imports: |
Rsolnp, pracma, signal, zoo, lubridate, crayon, utils, nloptr, BB, GA, dfoptim, pso, FKF, tswge |
| Suggests: |
longmemo, yardstick, tidyverse, testthat, knitr, rmarkdown |
| Published: |
2022-02-15 |
| 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 |