Time Series & Survival · TOOL GUIDE

Auto ARIMA Forecasting

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Understand the method. Use it with confidence.

Automatically select best ARIMA model. Quantly runs the method against your active analysis context and returns structured results for review and interpretation.

01

When to use it

Use this tool for ordered observations, forecasting, or time-to-event outcomes where timing and censoring matter.
Use it only when the selected variables and study design match the method's requirements.

02

How to use it

  1. Open the tool from the Quantly Tools panel.
  2. Confirm the active dataset and analysis session.
  3. Set Date/Time Column (Required): Select the column containing the date or time information.
  4. Set Value Column (Required): Select the numeric column to forecast.
  5. Set Forecast Periods (Required): The number of periods to forecast into the future.
  6. Set Consider Seasonality (Optional): Allow the model to search for seasonal patterns.
  7. Set Seasonal Period (m) (Optional): The number of periods in a seasonal cycle (e.g., 12 for monthly, 7 for daily).
  8. Review optional or advanced settings and keep defaults unless your design requires a change.
  9. Run the tool, inspect warnings and diagnostics, then save or export the result with its assumptions.
03

How to interpret results

Review time order, stationarity or proportional-hazards assumptions, uncertainty intervals, censoring, and validation over later periods. Forecasts and survival estimates become less certain farther from observed data.