Extended Joint Models for Longitudinal and Time-to-Event Data
Time-Dependent Predictive Accuracy Measures for Joint Models
Various Methods for Functions from the coda Package
Transform Competing Risks Data in Long Format
Joint Models for Longitudinal and Time-to-Event Data
Extended Joint Models for Longitudinal and Time-to-Event Data
Various Methods for Standard Generics
Mayo Clinic Primary Biliary Cirrhosis Data
Predictions from Joint Models
Combine Recurring and Terminal Event Data in Long Format
Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).
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