I need to make dynamic predictions of the time of assembly of machines.
Since I want to update forecast when parts of the machine have been made, I need multi-state models.
Since I have time dependent covariates, such as the number of missing parts required to make the machine, I think I have 2 options: time dependent Cox regression or joint model of longitudinal and multi-state model.
Unfortunately I have not found any R package that allow to make dynamic predictions with these models.
For example JMBayes/JMBayes2 doesn’t allow dynamic predictions from multistate model
Mstate + Cox doesn’t allow combining time varying covariates with multi-state models
Do you know any R packages that can help me or suggestions on how I can fit these models and use them to make predictions?