GAUSS (software)

{{Infobox Software

| name = GAUSS

| logo = GAUSS (software) logo.png

| developer = Aptech Systems

| released = {{Start date and age|1984|df=yes}}

| latest_release_version = 22.1.0

| latest_release_date = {{Start date and age|2022|03|10|df=yes}}

| operating_system = Linux, macOS, Windows

| genre = programming language

| license = proprietary

| website = [https://www.aptech.com/ 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.{{cite web|url=https://www.aptech.com/resources/tutorials/beginner-program-nearest-neighbor-search/#step-1-create-a-new-gauss-program-file|title=Beginner Program: Nearest Neighbour Search|website=Aptech|access-date=2020-02-06|quote=GAUSS does not require any particular file extension for GAUSS program files, however, {{mono|.gss}} is recommended.}}

Examples

GAUSS Applications

A range of toolboxes are available for GAUSS at additional cost.{{Cite web |title=Explore GAUSS Application Modules {{!}} Aptech |url=https://store.aptech.com/gauss-applications-category.html |access-date=2022-03-29 |website=store.aptech.com}}

class="wikitable" style="text-align:center"; border="5"

|+Toolboxes

!Toolbox !! |Description

[https://www.aptech.com/products/gauss-applications/algorithmic-derivatives/ Algorithmic Derivatives]A program for generating GAUSS procedures for computing algorithmic derivatives.
[https://www.aptech.com/products/gauss-applications/constrained-maximum-likelihood-mt/ Constrained Maximum Likelihood MT]Solves the general maximum likelihood problem subject to general constraints on the parameters.
[https://www.aptech.com/products/gauss-applications/constrained-optimization-mt/ Constrained Optimization]Solves the nonlinear programming problem subject to general constraints on the parameters.
[https://www.aptech.com/products/gauss-applications/curvefit/ CurveFit]Nonlinear curve fitting.
[https://web.archive.org/web/20081122011154/http://www.aptech.com/ga_ds.html Descriptive Statistics]Basic sample statistics including means, frequencies and crosstabs. This application is backwards compatible with programs written with Descriptive Statistics 3.1.
[https://www.aptech.com/products/gauss-applications/descriptive-statistics-mt/ Descriptive Statistics MT]Basic sample statistics including means, frequencies and crosstabs. This application is thread-safe and takes advantage of structures.
[https://www.aptech.com/products/gauss-applications/discrete-choice/ Discrete Choice]A statistical package for estimating discrete choice and other models in which the dependent variable is qualitative in some way.
[https://www.aptech.com/products/gauss-applications/fanpac-mt/ FANPAC MT]Comprehensive suite of GARCH (Generalized AutoRegressive Conditional Heteroskedastic) models for estimating volatility.
[https://www.aptech.com/products/gauss-applications/linear-programming-mt/ Linear Programming MT]Solves small and large scale linear programming problems.
[https://www.aptech.com/products/gauss-applications/linear-regression-mt/ Linear Regression MT]Least squares estimation.
[https://www.aptech.com/products/gauss-applications/loglinear-analysis-mt/ Loglinear Analysis MT]Analysis of categorical data using log-linear analysis.
[https://www.aptech.com/products/gauss-applications/maximum-likelihood-mt/ Maximum Likelihood MT]Maximum likelihood estimation of the parameters of statistical models.
[https://www.aptech.com/products/gauss-applications/nonlinear-equations-mt/ Nonlinear Equations MT]Solves systems of nonlinear equations having as many equations as unknowns.
[https://www.aptech.com/products/gauss-applications/optimization-mt/ Optimization]Unconstrained optimization.
[https://www.aptech.com/products/gauss-applications/time-series-mt/ 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.

See also

References

{{Reflist}}