Man pages for garma
Fitting and Forecasting Gegenbauer ARMA Time Series Models
| AIC.garma_model | AIC for model |
| autoplot.garma_model | ggplot of the Forecasts of the model. |
| coef.garma_model | Model Coefficients |
| extract_arma | Extract underlying ARMA process. |
| fitted.garma_model | Extract fitted values |
| forecast.garma_model | Forecast future values. |
| garma | garma: A package for estimating and foreasting Gegenbauer... |
| garma_ggtsdisplay | ggtsdisplay of underlying ARMA process. |
| ggbr_semipara | Extract semiparametric estimates of the Gegenbauer factors. |
| gg_raw_pgram | Display raw periodogram |
| gof | Goodness-of-Fit test for a garma_model. |
| logLik.garma_model | Log Likelihood |
| plot.garma_model | Plot Forecasts from model. |
| predict.garma_model | Predict future values. |
| print.garma_model | print a garma_model object. |
| print.ggbr_factors | Print a 'ggbr_factors' object. |
| residuals.garma_model | Residuals |
| summary.garma_model | summarise a garma_model object. |
| tsdiag.garma_model | Diagnostic fit of a garma_model. |
| vcov.garma_model | Covariance matrix |
