GAUSS
Developer(s)Aptech Systems
Initial release1984 (1984)
Stable release
22.1.0 / 10 March 2022 (2022-03-10)
Operating systemLinux, macOS, Windows
Typeprogramming language
Licenseproprietary
Websitewww.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.[1]

Examples

GAUSS Applications

A range of toolboxes are available for GAUSS at additional cost.[2]

Toolboxes
ToolboxDescription
Algorithmic DerivativesA program for generating GAUSS procedures for computing algorithmic derivatives.
Constrained Maximum Likelihood MTSolves the general maximum likelihood problem subject to general constraints on the parameters.
Constrained OptimizationSolves the nonlinear programming problem subject to general constraints on the parameters.
CurveFitNonlinear curve fitting.
Descriptive StatisticsBasic sample statistics including means, frequencies and crosstabs. This application is backwards compatible with programs written with Descriptive Statistics 3.1.
Descriptive Statistics MTBasic sample statistics including means, frequencies and crosstabs. This application is thread-safe and takes advantage of structures.
Discrete ChoiceA statistical package for estimating discrete choice and other models in which the dependent variable is qualitative in some way.
FANPAC MTComprehensive suite of GARCH (Generalized AutoRegressive Conditional Heteroskedastic) models for estimating volatility.
Linear Programming MTSolves small and large scale linear programming problems.
Linear Regression MTLeast squares estimation.
Loglinear Analysis MTAnalysis of categorical data using log-linear analysis.
Maximum Likelihood MTMaximum likelihood estimation of the parameters of statistical models.
Nonlinear Equations MTSolves systems of nonlinear equations having as many equations as unknowns.
OptimizationUnconstrained optimization.
Time Series MTExact 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.

See also

References

  1. "Beginner Program: Nearest Neighbour Search". Aptech. Retrieved 2020-02-06. GAUSS does not require any particular file extension for GAUSS program files, however, .gss is recommended.
  2. "Explore GAUSS Application Modules | Aptech". store.aptech.com. Retrieved 2022-03-29.
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