  This tutorial shows how various Bayesian survival models can be fitted using
the integrated nested Laplace approximation in a clear, legible, and
comprehensible manner using the INLA and INLAjoint R-packages. Such models
include accelerated failure time, proportional hazards, mixture cure, competing
risks, multi-state, frailty, and joint models of longitudinal and survival
data, originally presented in the article "Bayesian survival analysis with
BUGS" (Alvares et al., 2021). In addition, we illustrate the implementation of
a new joint model for a longitudinal semicontinuous marker, recurrent events,
and a terminal event. Our proposal aims to provide the reader with syntax
examples for implementing survival models using a fast and accurate approximate
Bayesian inferential approach.
