Applications#
Applications are downloadable libraries that extend the functionality of GAUSS with additional procedures and examples.
An application program for generating GAUSS procedures for computing algorithmic derivatives.
Provides tools for Bayesian estimation in GAUSS.
Provides tools for constrained maximum likelihood in GAUSS.
Provides tools for constrained optimization in GAUSS.
Provides tools to find the best fit of the data to the function in the least squares sense.
Provides basic statistics for the variables in GAUSS data sets.
Provides basic statistics for the variables in GAUSS data sets.
Provides econometric tools commonly implemented for estimation and analysis of financial data.
Provides tools to model, analyze, and predict data using fundamental machine learning techniques.
Provides tools for the analysis of categorical data using loglinear analysis.
Provides tools to solve small and large scale linear programming problems in GAUSS.
Provides tools for estimating single equations or a simultaneous system of equations in GAUSS.
Provides tools for maximum likelihood estimation in GAUSS.
Provides tools for optimization in GAUSS.
Tools for estimating and evaluating time invariant state space models.
Provides tools for comprehensive treatment of time series models, including model diagnostics, MLE and state-space estimation, and forecasts. Time Series MT also includes tools for managing panel series data and estimating and diagnosing panel series models, including random effects and fixed effects.
Provides tools for unit root, cointegration, and causality testing in time series and panel data. It includes extensive coverage of testing in the presence of structural breaks.