Methods for estimating long memory-seasonal/cyclical Gegenbauer univariate time series processes. See for example (2018) <doi:10.1214/18-STS649>. Refer to the vignette for details of fitting these processes.
| Version: | 0.9.2 |
| Imports: | assertthat, zoo, forecast, lubridate, FKF, signal, pracma, nloptr, Rsolnp, ggplot2, Rdpack (≥ 0.7) |
| Suggests: | longmemo, tidyverse, BB, GA, pso, dfoptim, testthat, knitr, rmarkdown |
| Published: | 2020-08-06 |
| Author: | Richard Hunt [aut, cre] |
| Maintainer: | Richard Hunt <maint at huntemail.id.au> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | garma results |
| Reference manual: | garma.pdf |
| Vignettes: |
Introduction to GARMA models |
| Package source: | garma_0.9.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: garma_0.9.2.zip, r-oldrel: not available |
| macOS binaries: | r-release: not available, r-oldrel: not available |
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