sambrilleman/simjm: Simulate Joint Longitudinal and Survival Data

Simulates data from a joint longitudinal and survival model. The model can be a univariate (one longitudinal outcome) or a multivariate (more than one longitudinal outcome) shared parameter joint model. Each longitudinal outcome is assumed to be modelled using a generalised linear mixed model (for which a variety of family and link functions are allowed), and where changes over time can be modelled using either linear, quadratic or cubic effects of time. Population-level (i.e. fixed effects) and/or individual-specific parameters (i.e. random effects) can be specified for each of the time effects). A Weibull distribution is assumed for the baseline hazard in the event submodel. A variety of association structures are possible for linking the longitudinal and survival submodels. Baseline covariates (one binary and one continuous) are included in each longitudinal submodel and in the event submodel.

install.packages("remotes")
remotes::install_github("sambrilleman/simjm")