fraST

fraST is a software tool designed for the analysis of time series data. It provides a range of functionalities for data manipulation, statistical modeling, and visualization. The primary purpose of fraST is to enable researchers and analysts to explore, understand, and forecast time series patterns.

The software supports various time series decomposition methods, allowing users to separate a time series into its trend, seasonal, and residual components. This helps in identifying underlying patterns and anomalies. fraST also incorporates a selection of statistical models commonly used in time series analysis, such as ARIMA, Exponential Smoothing, and state-space models. These models can be applied for forecasting future values of the time series.

Visualization is a key feature of fraST, offering tools to plot raw time series data, decomposed components, and model forecasts. These visualizations aid in interpreting the results of the analysis and communicating findings effectively. The tool is typically used in fields like economics, finance, environmental science, and operations research where time series data is prevalent. Its user interface aims to be accessible for users with varying levels of statistical expertise, though advanced functionalities are also available for more experienced users.