README.md

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

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:

{r} if (!requireNamespace("devtools", quietly = TRUE)) { install.packages("devtools")} devtools::install_github("AntoineBbi/JMcuR") Warning: JMcuR package requires JAGS software (http://mcmc-jags.sourceforge.net/).

AntoineBbi/JMcuR documentation built on Oct. 1, 2020, 1:31 a.m.