Prognosis_ARIMA: Prognosis_ARIMA
In grieman/grieman:

Description Usage Arguments Value Examples

This function predicts future values using ARIMA and GARCH models.

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Prognosis_ARIMA(data, maxp = 5, maxq = 5, maxd = 2, tendtomean = FALSE,
  forecastLength = NULL, forecastConfidence = 50, outlierTolerance = 2,
  detailed = FALSE)

`data`	Input data, as a vector
`maxp`	Maximum number of AR terms
`maxq`	Maximum number of MA terms
`maxd`	Maximum number of differencing
`tendtomean`	Chooses whether or not to include a mean in the ARIMA model
`forecastLength`	number of points to forecast - default is .2 of the input's length
`forecastConfidence`	Level for plotted and output confidence interval
`outlierTolerance`	Allowable number of IQRs' away from the first or third quartile for a point to not be considered an outlier. Higher numbers result in fewer outliers.
`detailed`	Allows for more detailed output, where applicable. Defaults to FALSE

A list consisting of a plot, a model, and predictions

exampledata <- GenerateSeriesToCutoff(100, .01, .005, 200, 100)
Prognosis_output <- Prognosis_ARIMA(exampledata)
Prognosis_output$Plot
Prognosis_output$Model
Prognosis_output$Table