[larryzza] PAmeasures 2.0.0.9000

zianzhuang@ucla.edu (Zian Zhuang) — Thu, 29 Oct 2026 00:06:46 GMT

Evaluates prediction accuracy for continuous outcomes and the predictive performance of survival models in a unified framework. Implements the R-squared, L-squared, pseudo R-squared and related explained variation measures of Li and Wang (2019) , the concordance indices of Harrell et al. (1982) and Uno et al. (2011) , the time-dependent area under the receiver operating characteristic curve (AUC) of Heagerty, Lumley and Pepe (2000) , and the Brier score of Graf et al. (1999) . Supports right-censored data; competing risks, following Wolbers et al. (2014) , Wu and Li (2018) and Zhuang et al. (2025) ; and two-phase sampling designs such as case-cohort and nested case-control studies, following Lee, Zeleniuch-Jacquotte and Liu (2021) . Revives and expands the original 'PAmeasures' package with a unified interface for survival prediction assessment.

larryzza.r-universe.dev

[larryzza] PAmeasures 2.0.0.9000