DayWModelFitter: Function to estimate daily seasonal time series models

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

Description

Function to estimate daily seasonal time series models

Usage

DayWModelFitter(data, Outcome)

Arguments

data	A tsibble.
Outcome	A valid variable name for the Outcome to be modelled in in 'data'.

Value

A mable containing:

• K=1,2,3: ARIMA models with fourier(K=1,2,3)

• ARIMA, .T, .TS: an ARIMA model .t (with trend) .ts (with trend and season)

• ETS: an ETS model

• NNET: the model fits of NNETAR with T (trend) TS (trend and season) and numbers indicate K

• prophet.LWA: a prophet model with weekly and annual seasons

• prophet.LW: a prophet model with weekly seasons

• Combo1: the average of ETS and ARIMA

• Combo2: the average of ETS, NNETT2 and ARIMA

Examples

data(SNWSDPDX)
DayWModelFitter(SNWSDPDX, TX)

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