Prognosis_Seasonal: Prognosis_Seasonal
In grieman/grieman:

Description Usage Arguments Value Examples

Prognosis_Seasonal

1 2	Prognosis_Seasonal(data, times, seasonality, forecastLength = NULL, forecastConfidence = 50, outlierTolerance = 2, detailed = FALSE)

`data`	Input data, as a vector
`times`	Vector of times for each data point
`seasonality`	How many data point there are in each seasonal period
`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)
times <- seq(as.Date("2000/1/1"), by = "month", length.out = length(exampledata))
Prognosis_output<- Prognosis_Seasonal(exampledata, times, 12)
Prognosis_output$Plot
Prognosis_output$Model
Prognosis_output$Table