Model Method Extraction Helper — model_extraction_helper • healthyR.ts

This takes in a model fit and returns the method of the fit object.

Usage

model_extraction_helper(.fit_object)

Arguments

.fit_object: A time-series fitted model

Value

A model description

Details

Currently supports forecasting model of one of the following from the forecast package:

Arima
auto.arima
ets
nnetar
workflow fitted models.

See also

Other Utility: auto_stationarize(), calibrate_and_plot(), internal_ts_backward_event_tbl(), internal_ts_both_event_tbl(), internal_ts_forward_event_tbl(), ts_get_date_columns(), ts_info_tbl(), ts_is_date_class(), ts_lag_correlation(), ts_model_auto_tune(), ts_model_compare(), ts_model_rank_tbl(), ts_model_spec_tune_template(), ts_qq_plot(), ts_scedacity_scatter_plot(), ts_to_tbl(), util_difflog_ts(), util_doublediff_ts(), util_doubledifflog_ts(), util_log_ts(), util_singlediff_ts()

Author

Steven P. Sanderson II, MPH

Examples

# NOT RUN
if (FALSE) {
suppressPackageStartupMessages(library(forecast))

# Create a model
fit_arima  <- auto.arima(AirPassengers)

model_extraction_helper(fit_arima)
}