BAPC: Projection of cancer incidence and mortality data using Bayesian APC models fitted with INLA
Version 0.0.34

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 http://www.r-inla.org . We recommend the testing version, which can be downloaded by running: install.packages("INLA", repos="http://www.math.ntnu.no/inla/R/testing").

Getting started

Package details

AuthorAndrea Riebler <andrea.riebler@math.ntnu.no> and Leonhard Held <leonhard.held@ifspm.uzh.ch>
Date of publication2017-07-06 20:38:52
MaintainerAndrea Riebler <andrea.riebler@math.ntnu.no>
LicenseLGPL (>2)
Version0.0.34
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("BAPC", repos="http://R-Forge.R-project.org")

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