rlph50/tsggbr: Fitting and Forecasting Gegenbauer ARMA Time Series Models
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.
Getting started
Browse package contents
Package details |
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| Maintainer | Richard Hunt <maint@huntemail.id.au> |
| License | GPL-3 |
| Version | 0.9.24 |
| URL | https://github.com/rlph50/garma |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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