Four Papers on Contemporary Software Design Strategies for Statistical Methodologists
Vincent Carey, Dianne Cook
TL;DR
This collection of papers explores recent advancements and strategies in software design tailored for statistical methodologists, highlighting how evolving technology influences statistical software development.
Contribution
The papers collectively provide new insights into contemporary software design strategies specifically for statistical analysis, authored by leading experts in the field.
Findings
Software design is rapidly evolving with technological advances.
Statistical software is adapting to new computational paradigms.
The papers offer practical strategies for modern statistical software development.
Abstract
Software design impacts much of statistical analysis and, as technology changes, dramatically so in recent years, it is exciting to learn how statistical software is adapting and changing. This leads to the collection of papers published here, written by John Chambers, Duncan Temple Lang, Michael Lawrence, Martin Morgan, Yihui Xie, Heike Hofmann and Xiaoyue Cheng.
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