  Health economic evaluation studies are widely used in public health to assess
health strategies in terms of their cost-effectiveness and inform public
policies. We developed an R package for Markov models implementing most of the
modelling and reporting features described in reference textbooks and
guidelines: deterministic and probabilistic sensitivity analysis, heterogeneity
analysis, time dependency on state-time and model-time (semi-Markov and
non-homogeneous Markov models), etc. In this paper we illustrate the features
of heemod by building and analysing an example Markov model. We then explain
the design and the underlying implementation of the package.
