distTails

disTails provides statistical tools to model and analyze extreme events using advanced probability distributions. It includes methods for fitting data and checking how well models match real-world behavior. This is important in areas where rare events have major impact, such as critical-safety domains, finance, climate risks, or system failures. By improving accuracy and validation, it increases trust in analytics and AI results. Built in R, it runs consistently across laptops, clusters, and cloud systems, with indirect efficiency gains through better resource planning.

Critical-Safety Systems; Operational-risk & VaR in finance; climate-extreme modelling; insurance actuarial studies; HPC job-time, realiability engineering.

Critical-Safety Systems; Quantitative-finance desks and fintech analytics platforms; Insurance & re-insurance actuarial teams; Climate & environmental research institutes; HPC centres analysing long-tail job duration or node failures; Cyber-security companies modelling heavy-tail attack patterns.