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SurvMA

Model Averaging Prediction of Personalized Survival Probabilities

v1.6.8 · Sep 23, 2024 · GPL (>= 2)

Description

Provide model averaging-based approaches that can be used to predict personalized survival probabilities. The key underlying idea is to approximate the conditional survival function using a weighted average of multiple candidate models. Two scenarios of candidate models are allowed: (Scenario 1) partial linear Cox model and (Scenario 2) time-varying coefficient Cox model. A reference of the underlying methods is Li and Wang (2023) <doi:10.1016/j.csda.2023.107759>.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies survival maxLik pec quadprog SurvMA

Version History

new 1.6.8 Mar 10, 2026