This article presents a method for visualization of multivariate functions. The method is based on a tree structure--called the level set tree--built from separated parts of level sets of a function.

Single and multivariable regression, forecasting using regression models, time series models, and modeling with MA, AR, ARMA, and ARIMA models, forecasting with time series models, and spectral ...

Multivariate meta-regression models are commonly used in settings where the response variable is naturally multidimensional. Such settings are common in cardiovascular and diabetes studies where the ...

The bregr package provides a streamlined, modular workflow for batch regression modeling. The process begins with installation and initialization, followed by core modeling steps such as setting ...

Introduction -- pt. I. Building core skills for visual analysis -- Information visualization -- Prerequisites for enlightening analysis -- Thinking with our eyes -- Analytical interaction and ...

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...

The focus of the upcoming release was the optimization of the software for even greater usability and reliability. The Unscrambler® X 10.2 builds on the software's existing strengths, such as data ...