BAPC: Projection of cancer incidence and mortality data using Bayesian APC models fitted with INLA

Package implementing Bayesian age-period-cohort models with the focus on projections. BAPC uses integrated nested Laplace approximations (INLA) for full Bayesian inference. BAPC generates age-specific and age-standardized projected rates. When interest lies in the predictive distribution, Poisson noise is automatically added. The INLA package can be obtained from . We recommend the testing version, which can be downloaded by running: install.packages("INLA", repos="").

Getting started

Package details

AuthorAndrea Riebler <[email protected]> and Leonhard Held <[email protected]>
MaintainerAndrea Riebler <[email protected]>
LicenseLGPL (>2)
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("BAPC", repos="")

Try the BAPC package in your browser

Any scripts or data that you put into this service are public.

BAPC documentation built on July 7, 2017, 3 a.m.