survHE (1.0.65)

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Survival Analysis in Health Economic Evaluation.

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 post-processed 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).

Maintainer: Gianluca Baio
Author(s): Gianluca Baio [aut, cre]

License: GPL (>= 3)

Uses: flexsurv, Rcpp, rms, rstan, xlsx, shinystan

Released about 1 year ago.

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