DayWModelPicker: Function to choose optimal daily seasonal forecast model

In robertwwalker/AutoForecaster: Auto Magic Forecaster Optimizes by aicc (Auto Forecaster)

Description

Function to choose optimal daily seasonal forecast model

Usage

DayWModelPicker(data, Outcome, DateVar, H.Horizon = 14)

Arguments

data	A daily tsibble.
Outcome	A valid variable name for the Outcome to be modelled in in 'data'.
DateVar	A valid variable name for the time index in 'data'.
H.Horizon	An integer for the forecast horizon/test subset of 'data'.

Value

A list containing:

• Accuracy.Table: accuracy for the forecast horizon against the test sample.

• test: the test set

• train: the training set

• Model.Fits: the model fits

• Model.Forecasts: the forecasts

• Min.Model: the minimum model by MAE

• Min.Report: the minimum model report

• Min.Res.Plot NW: the gg_tsdisplay for the minimum model

Examples

data(SNWSDPDX)
DayWModelPicker(SNWSDPDX, TX, date, H.Horizon=14)

robertwwalker/AutoForecaster documentation built on Dec. 22, 2021, 5:13 p.m.