Developer(s) Aptech Systems 1984; 39 years ago 22.1.0 / 10 March 2022; 17 months ago Linux, macOS, Windows programming language proprietary www.aptech.com

GAUSS is a matrix programming language for mathematics and statistics, developed and marketed by Aptech Systems. Its primary purpose is the solution of numerical problems in statistics, econometrics, time-series, optimization and 2D- and 3D-visualization. It was first published in 1984 for MS-DOS and is available for Linux, macOS and Windows.

## GAUSS Applications

A range of toolboxes are available for GAUSS at additional cost.

Toolboxes
Toolbox Description
Algorithmic Derivatives A program for generating GAUSS procedures for computing algorithmic derivatives.
Constrained Maximum Likelihood MT Solves the general maximum likelihood problem subject to general constraints on the parameters.
Constrained Optimization Solves the nonlinear programming problem subject to general constraints on the parameters.
CurveFit Nonlinear curve fitting.
Descriptive Statistics Basic sample statistics including means, frequencies and crosstabs. This application is backwards compatible with programs written with Descriptive Statistics 3.1.
Descriptive Statistics MT Basic sample statistics including means, frequencies and crosstabs. This application is thread-safe and takes advantage of structures.
Discrete Choice A statistical package for estimating discrete choice and other models in which the dependent variable is qualitative in some way.
FANPAC MT Comprehensive suite of GARCH (Generalized AutoRegressive Conditional Heteroskedastic) models for estimating volatility.
Linear Programming MT Solves small and large scale linear programming problems.
Linear Regression MT Least squares estimation.
Loglinear Analysis MT Analysis of categorical data using log-linear analysis.
Maximum Likelihood MT Maximum likelihood estimation of the parameters of statistical models.
Nonlinear Equations MT Solves systems of nonlinear equations having as many equations as unknowns.
Optimization Unconstrained optimization.
Time Series MT Exact ML estimation of VARMAX, VARMA, ARIMAX, ARIMA, and ECM models subject to general constraints on the parameters. Panel data estimation. Cointegration and unit root tests.