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Joint Modeling for longitudinal and time-to-event data with cuRe fraction (JMcuR)

JMcuR is a R-package dealing joint models for longitudinal and time-to-event data when the population of interest includes a cure fraction. Estimation step uses JAGS and predictions using Bayesian or Frequentist approach. This package is built from the JMbayes package version 0.4-1 implemented by Dimitris Rizopoulos.

More general details about these joint longitudinal-cure models can be found in the following reference:

Barbieri, A., & Legrand, C. (2019). Joint longitudinal and time-to-event cure models for the assessment of being cured. Statistical Methods in Medical Research. https://doi.org/10.1177/0962280219853599

To try the current development version from github, use:

if (!requireNamespace("devtools", quietly = TRUE)) {
    install.packages("devtools")}
devtools::install_github("AntoineBbi/JMcuR")

Warning: JMcuR package requires JAGS software (http://mcmc-jags.sourceforge.net/).

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R package for analysis (estimation and prediction) using joint longitudinal-survival-cure models

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