garma
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling source/ R- | garma_1.0.1.tar.gz |
1.0 MiB |
1.0.1 |
rolling linux/jammy R-4.5 | garma_1.0.1.tar.gz |
971.3 KiB |
1.0.1 |
latest source/ R- | garma_1.0.1.tar.gz |
1.0 MiB |
1.0.1 |
latest linux/jammy R-4.5 | garma_1.0.1.tar.gz |
971.3 KiB |
1.0.1 |
2026-04-23 source/ R- | garma_1.0.1.tar.gz |
1.0 MiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | garma_1.0.1.zip |
972.3 KiB |
0.9.24 |
2025-04-20 source/ R- | garma_0.9.24.tar.gz |
1.0 MiB |