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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 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
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Package details |
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| Author | Andrea Riebler <andrea.riebler@ntnu.no> and Leonhard Held <leonhard.held@uzh.ch> |
| Maintainer | Andrea Riebler <andrea.riebler@ntnu.no> |
| License | LGPL (>2) |
| Version | 0.0.36 |
| Package repository | View on R-Forge |
| Installation |
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