GAUSS (software)
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.
Examples
- GAUSS has several Application Modules as well as functions in its Run-Time Library
- * Qprog – Quadratic programming
- * SqpSolvemt – Sequential quadratic programming
- * QNewton - Quasi-Newton unconstrained optimization
- * EQsolve - Nonlinear equations solver
GAUSS Applications
A range of toolboxes are available for GAUSS at additional cost.| Toolbox | Description |
| A program for generating GAUSS procedures for computing algorithmic derivatives. | |
| Solves the general maximum likelihood problem subject to general constraints on the parameters. | |
| Solves the nonlinear programming problem subject to general constraints on the parameters. | |
| Nonlinear curve fitting. | |
| Basic sample statistics including means, frequencies and crosstabs. This application is backwards compatible with programs written with Descriptive Statistics 3.1. | |
| Basic sample statistics including means, frequencies and crosstabs. This application is thread-safe and takes advantage of structures. | |
| A statistical package for estimating discrete choice and other models in which the dependent variable is qualitative in some way. | |
| Comprehensive suite of GARCH models for estimating volatility. | |
| Solves small and large scale linear programming problems. | |
| Least squares estimation. | |
| Analysis of categorical data using log-linear analysis. | |
| Maximum likelihood estimation of the parameters of statistical models. | |
| Solves systems of nonlinear equations having as many equations as unknowns. | |
| Unconstrained optimization. | |
| 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. |