Forecasting {ForecastingEnsembles}R Documentation

forecasting—function to perform time series analysis and return the results to the user.

Description

forecasting—function to perform time series analysis and return the results to the user.

Usage

Forecasting(
  time_series_name,
  time_series_data,
  train_amount,
  number_of_intervals_to_forecast,
  use_parallel = c("Y", "N"),
  time_interval = c("Q", "M", "W")
)

Arguments

time_series_name

the name of the time series in quotation marks

time_series_data

a time series

train_amount

The amount to use for the training set, such as 0.60

number_of_intervals_to_forecast

the number of intervals, such as months or weeks, that are going to be forecast

use_parallel

"Y" or "N" for parallel processing

time_interval

user states whether the time interval is quarterly, monthly or weekly.

Value

A series of summary reports and visualizations to fully describe the time series: Forecast accuracy, forecast numbers, forecast plot, innovation residuals,

best autocorrelation function (ACF), plot of best histogram of residuals, plot of best actual vs predicted, plot of best actual vs trend

plot of best actual vs seasonally adjusted


[Package ForecastingEnsembles version 0.5.0 Index]