STAMP

STAMP is a package designed to model and forecast time series, based on structural time series models. These models use advanced techniques, such as Kalman filtering, but are set up so as to be easy to use—at the most basic level all that is required is some appreciation of the concepts of trend, seasonal and irregular. The hard work is done by the program, leaving the user free to concentrate on formulating models, then using them to make forecasts.

Structural time series modelling can be applied to a variety of problems in time series. Macro-economic time series like gross national production, inflation and consumption can be handled effectively, but also financial time series, like interest rates and stock market volatility, can be modelled using STAMP. Further, STAMP is used for modelling and forecasting time series in medicine, biology, engineering, marketing and in many other areas.