jmBIG: Joint Longitudinal and Survival Models for Big Data

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.

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✨ 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

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📦 Installation

From GitHub (development version)

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

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