CornerstoneR 3.4.0 Is Now Available

Introducing Neural Networks and Enhanced Time Series Analytics Functions

camLine announces the release of CornerstoneR 3.4.0, introducing new machine learning capabilities, enhanced time series modelling functions, and improved analytical workflows for engineers, data scientists, and quality professionals.

What’s new in CornerstoneR 3.4.0?

A key addition in this release is Neural Networks analysis, which enables users to develop predictive models that can capture complex patterns in manufacturing, quality, and operational data.

Several new Time Series Model functions are introduced in CornerstoneR 3.4.0 release, including adding coefficient tables, confidence level as a script variable, and enhanced interactive analysis capabilities. These updates provide greater transparency into model behaviour and support more advanced automation scenarios.

CornerstoneR 3.4.0 is available to all users with a valid Cornerstone 8.2 license.

Additional Enhancements in CornerstoneR 3.4.0

• New output options for Decision Tree, Gaussian Process Regression, k-Means Clustering, Logistic Regression, and Random Forest analyses
• Improved Logistic Regression outputs using probability scores instead of class labels
• Updated variable selection dialogs for a more streamlined user experience
• Support for R versions up to 4.6.0
  
  

Download the CornerstoneR 3.4.0 Installer Package here

Quality Improvements and Bug Fixes

The release also includes several quality improvements and bug fixes, including corrections to reference category coefficient calculations, PACF confidence intervals, and missing-value handling in Reliability Distribution Fitting.

About CornerstoneR

CornerstoneR is designed for engineers, data scientists, and quality professionals working with manufacturing, quality, and operational data. It provides analytical capabilities for predictive modelling, time series analysis, and related data analysis workflows.

By connecting Cornerstone with R, CornerstoneR brings advanced capabilities for data preprocessing, analysis, visualization, statistical modelling, and prediction into Cornerstone’s interactive Workmap environment.

Ready-to-use functions make these capabilities accessible without R programming knowledge, while experienced users can also work with their own R scripts and packages.

Explore CornerstoneR