model_extraction_helper: Model Method Extraction Helper

In healthyR.ts: The Time Series Modeling Companion to 'healthyR'

Model Method Extraction Helper

Description

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

Details

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

• Arima

• auto.arima

• ets

• nnetar

• workflow fitted models.

Value

A model description

Author(s)

Steven P. Sanderson II, MPH

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()

Examples

# NOT RUN
## Not run: 
suppressPackageStartupMessages(library(forecast))

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

model_extraction_helper(fit_arima)

## End(Not run)

healthyR.ts documentation built on Oct. 12, 2024, 1:08 a.m.