JMbdirect: Joint Model for Longitudinal and Multiple Time-to-Event Data

JMbdirect provides tools for jointly modeling longitudinal outcomes and multiple time-to-event (survival) outcomes using a variety of statistical engines like JMbayes2, FastJM, joineRML, and rstanarm.

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✨ Features

• 🔄 Fit joint models with multiple survival outcomes
• 🧠 Compatible with popular modeling engines:
  • JMbayes2
  • FastJM
  • joineRML
  • rstanarm
• 🔎 Includes functions for:
  • Model fitting (jmbB(), jmcsB(), jmrmlB(), jmstB())
  • Survival prediction
  • Posterior plots
  • Bootstrapped confidence intervals
• 📦 Ready for big data applications using the BIGdata = TRUE flag

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📦 Installation

From GitHub (development version)

# If not already installed
install.packages("remotes")
remotes::install_github("kumarbhrigu/JMbdirect")