EurekAlert!

bregr: Easy and efficient batch processing of biomedical regression models in R

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 ...
JSTOR Daily

On the Estimation of Hierarchical Latent Regression Models for Large-Scale Assessments

To find population proficiency distributions, a two-level hierarchical linear model may be applied to large-scale survey assessments such as the National Assessment of Educational Progress (NAEP). The ...
insideHPC

ReFrame: A Regression Testing Framework Enabling Continuous Integration of Large HPC Systems

In this video from the 2018 Swiss HPC Conference, Victor Holanda Rusu from CSCS presents: ReFrame: A Regression Testing Framework Enabling Continuous Integration of Large HPC Systems. “Scientifico ...
JSTOR Daily

Approximate Tolerance Limits Under Log-Location-Scale Regression Models in the Presence of Censoring

For a product manufactured in large quantities, tolerance limits play a fundamental role in setting limits on the process capability. Existing methodologies for setting tolerance limits in life test ...