for generating GAUSS procedures for computing algorithmic derivatives.
suite of tools for estimation and analysis of a number of pre-packaged models.
for estimation of statistical models by maximum likelihood while allowing for the imposition of general constraints.
solves the Nonlinear Programming problem, subject to general constraints on the parameters
finds the best fit of the data to the function in the least squares sense.
provide basic statistics for the variables in GAUSS data sets.
provides an adaptable, efficient, and user-friendly environment for linear data classification.
provides econometric tools commonly implementedfor estimation and analysis of financial data.
Thread-safe Execution, Sparse matrices, & MPS files
set of procedures for estimating single equations or a simultaneous system of equations.
contains procedures for the analysis of categorical data using loglinear analysis.
contains a set of procedures for the solution of the maximum likelihood problem with bounds on parameters.
solves systems of nonlinear equations where there are as many equations as unknowns.
intended for the optimization of functions.
provides for comprehensive treatment of time series models, including model diagnostics, MLE estimation, and forecasts.
See what GAUSS can do for your data