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Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Bayesian Age-Period-Cohort Modeling and Prediction - BAMP | Schmid | Journal of Statistical Software
Authors: Volker J. Schmid, Leonhard Held
Title: Bayesian Age-Period-Cohort Modeling and Prediction - BAMP
Abstract: The software package BAMP provides a method of analyzing incidence or mortality data on the Lexis diagram, using a Bayesian version of an age-period-cohort model. A hierarchical model is assumed with a binomial model in the first-stage. As smoothing priors for the age, period and cohort parameters random walks of first and second order, with and without an additional unstructured component are available. Unstructured heterogeneity can also be included in the model. In order to evaluate the model fit, posterior deviance, DIC and predictive deviances are computed. By projecting the random walk prior into the future, future death rates can be predicted.

Page views:: 7791. Submitted: 2007-09-04. Published: 2007-10-16.
Paper: Bayesian Age-Period-Cohort Modeling and Prediction - BAMP     Download PDF (Downloads: 8213)
Supplements: BAMP source code Download (Downloads: 1388; 160KB) BAMP Windows binaries Download (Downloads: 1416; 872KB)
bamp-linux.tar: BAMP Linux binaries Download (Downloads: 1229; 610KB) R code for visualizing BAMP output Download (Downloads: 1269; 2KB)

DOI: 10.18637/jss.v021.i08

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.