Introducing GAUSS 24
We’re happy to announce the release of GAUSS 24, with new features for everything from everyday data management to refined statistical modeling.
GAUSS 24 features a robust suite of tools designed to elevate your research. With these advancements, GAUSS 24 continues our commitment to helping you conduct insightful analysis and achieve your goals.
Announcing the GAUSS Machine Learning Library
The new GAUSS Machine Learning (GML) library offers powerful and efficient machine learning techniques in an accessible and friendly environment. Whether you’re just getting familiar with machine learning or an experienced technician, you’ll be running models in no time with GML.
New Release TSPDLIB 3.0
The preliminary econometric package for Time Series and Panel Data Methods has been updated and functionality has been expanded with over 20 new functions in this release of TSPDLIB 3.0.0.
The TSPDLIB 3.0.0 package includes expanded functions for time series and panel data testing both with and without structural breaks and causality testing.
It requires a GAUSS 23+ for use.
GAUSS 23
The new GAUSS 23 is the most practical GAUSS yet! It’s built with the intention to save you time on everyday research tasks like finding, importing, and modeling data.
Learn about new features including:
- New FRED and DBnomics data integrations.
- Simplified data loading with intelligent type detection.
- First-class dataframe storage.
- Expanded quantile regressions.
- Kernel density estimation.
- and more …
Time Series MT 3.1.1 Update
GAUSS 22.1.0 Maintenance Release Now Available
The latest GAUSS 22.1.0 update is available now and is free if you own GAUSS 22. This maintenance release is one of our most extensive with over 40 enhancements, new functions, and new examples, and bug fixes.
GAUSS 22
GAUSS 22 brings many substantial new features that will save you hours of time and frustration with everyday tasks including:
- Data exploration
- Data cleaning and management
- Graphics
Maintenance release of TSPDLIB 2.1.0
The TSPDLIB 2.1.0 update includes bug fixes, new features, and new examples. It can be easily installed using the GAUSS Package Manager.
New Release of TSPDLIB 2.0
Learn why TSPDLIB 2.0 is the easiest and most comprehensive time series and panel data unit root and cointegration testing package on the market. The tspdlib 2.0 package includes expanded functions for time series and panel data testing in the presence of structural breaks. In addition, TSPDLIB 2.0 is easier than ever to use with new implementation of default parameter settings, updated output printing, and automatic date variable detection.