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Command Reference
Learning Resources
Applications
Algorithmic Derivatives (AD)
Bayesian Estimation Tools (BET)
Description
Installation
Key Features
Data generation tools
Supported models for Markov Chain Monte Carlo (MCMC) Estimation
Flexible MCMC estimation controls
Comprehensive results
BHATLIB Library
Constrained Max Likelihood (CMLMT)
Constrained Optimization MT (COMT)
CurveFit (CF)
Descriptive Statistics (DS)
Discrete Choice (DC)
FANPAC MT
GAUSS Machine Learning (GML)
Loglinear Analysis MT
Linear Programming MT
Linear Regression MT
Maximum Likelihood MT (maxlikmt)
Optimization MT (OPTMT)
GAUSS State-Space Modeling (SSLIB)
Time Series MT (TSMT)
GAUSS Time-Series Panel Data (TSPDLIB)
Change Log
GAUSS
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BET Examples
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