JM: Joint Models for Longitudinal and Survival Data using Maximum Likelihood

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This repository contains the source files for the R package JM. This package fits joint models for longitudinal and time-to-event data using maximum likelihood. These models are applicable in mainly two settings. First, when focus is on the survival outcome and we wish to account for the effect of an endogenous (aka internal) time-dependent covariates measured with error. Second, when focus is on the longitudinal outcome and we wish to correct for nonrandom dropout.

The basic joint-model-fitting function of the package is jointModel(). This accepts as main arguments a linear mixed model fitted by function lme() from the nlme package and a Cox model fitted using function coxph() from the survival package.

Basic Features

Dynamic predictions