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jmBIG: Joint Longitudinal and Survival Models for Big Data

jmBIG logo


jmBIG is an R package that provides a flexible, modular framework for joint modeling of longitudinal and time-to-event data, specifically optimized for large datasets commonly found in real-world clinical and biomedical studies.

✨ Features

  • 🧠 Joint modeling of longitudinal biomarkers and survival outcomes
  • ⚡ Big data readiness: designed for efficiency on large sample sizes
  • 🔁 Compatible with:
    • JMbayes2 (Bayesian joint modeling)
    • FastJM (Frequentist joint modeling)
    • rstanarm (Bayesian GLMMs)
    • joineRML (MLE-based methods)
  • 🧾 Posterior prediction of:
    • Individual survival probabilities
    • Longitudinal trajectories
  • 📊 Tools for:
    • Dynamic predictions
    • Bootstrapped confidence intervals
    • Visual summaries

📦 Installation

From GitHub (development version) 

# If not already installed
install.packages("remotes")

# Install jmBIG from GitHub
remotes::install_github("kumarbhrigu/jmBIG")