Time Series MT 4.0
With over 40 new features, enhancements, and bug fixes, Time Series MT (TSMT) 4.0 is s one of our most significant updates yet.
Highlights of the new release include:
- Structural VAR (SVAR) Tools.
- Enhanced SARIMA Modeling.
- Extended Model Diagnostics and Reporting.
- Seamless Dataframe Integration.
GAUSS 25.0.1 Maintenance Release Now Available
The latest GAUSS 25.0.1 update is available now and is free if you own GAUSS 25!
This maintenance release enhances graphics and panel data functions, expands functionality, and fixes reported bugs.
Exploring and Cleaning Panel Data with GAUSS 25
Panel data offers a unique opportunity to examine both individual-specific and time-specific effects. However, as anyone who has worked with panel data knows, these same features that make panel data so useful can also make exploration and cleaning particularly challenging.
GAUSS 25 was designed with these challenges in mind. It introduces a comprehensive new suite of panel data tools, tailored to make working with panel data in GAUSS easier, faster, and more intuitive.
In today’s blog, we’ll look at these new tools and demonstrate how they can simplify everyday panel data tasks, including:
- Loading your data.
- Preparing your panel dataset.
- Exploring panel data characteristics.
- Visualizing panel data.
- Transforming your data for modeling.
More Research, Less Effort with GAUSS 25!
GAUSS 25 will transform your workflow with intuitive tools for data exploration, advanced diagnostics, and seamless model comparison.
Learn more about our new features including:
- Comprehensive panel data tools.
- Improved results printouts.
- New hypothesis testing tools.
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 …