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").

AuthorAndrea Riebler <andrea.riebler@math.ntnu.no> and Leonhard Held <leonhard.held@ifspm.uzh.ch>
Date of publication2016-05-31 18:40:28
MaintainerAndrea Riebler <andrea.riebler@math.ntnu.no>
LicenseLGPL (>2)
Version0.0.33

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Files in this package

BAPC/DESCRIPTION
BAPC/NAMESPACE
BAPC/R
BAPC/R/BAPC.r
BAPC/R/bapcClass.r
BAPC/R/plotBAPC.r
BAPC/R/qapc.R
BAPC/R/ratesByAge.r
BAPC/R/utils.r
BAPC/data
BAPC/data/FemLCSweden.rda
BAPC/data/FemPYSweden.rda
BAPC/data/whostandard.rda
BAPC/inst
BAPC/inst/CITATION
BAPC/man
BAPC/man/BAPC.Rd BAPC/man/BAPCList-class.Rd BAPC/man/FemLCSweden.Rd BAPC/man/FemPYSweden.Rd BAPC/man/plotBAPC.Rd BAPC/man/qapc.Rd BAPC/man/ratesByAge.Rd BAPC/man/whostandard.Rd

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