Contains a suite of functions for survival analysis in health economics. These can be used to run survival models under a frequentist (based on maximum likelihood) or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian Monte Carlo). The user can specify a set of parametric models using a common notation and select the preferred mode of inference. The results can also be postprocessed to produce probabilistic sensitivity analysis and can be used to export the output to an Excel file (e.g. for a Markov model, as often done by modellers and practitioners). <doi:10.18637/jss.v095.i14>.
Package details 


Author  Gianluca Baio [aut, cre] 
Maintainer  Gianluca Baio <g.baio@ucl.ac.uk> 
License  GPL (>= 3) 
Version  1.1.2 
URL  https://github.com/giabaio/survHE http://www.statistica.it/gianluca/ 
Package repository  View on CRAN 
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