bamp: Bayesian Age-Period-Cohort Modeling and Prediction

Bayesian Age-Period-Cohort Modeling and Prediction using efficient Markov Chain Monte Carlo Methods. This is the R version of the previous BAMP software as described in Volker Schmid and Leonhard Held (2007) <doi:10.18637/jss.v021.i08> Bayesian Age-Period-Cohort Modeling and Prediction - BAMP, Journal of Statistical Software 21:8. This package includes checks of convergence using Gelman's R.

Version: 2.1.0
Depends: R (≥ 3.5.0)
Imports: coda, graphics, parallel, stats, abind
Suggests: knitr, rmarkdown, R.rsp
Published: 2021-06-10
Author: Volker Schmid [aut, cre], Florian Geressen [ctb], Leonhard Held [ctb], Evi Rainer [ctb]
Maintainer: Volker Schmid <volker.schmid at lmu.de>
BugReports: https://github.com/volkerschmid/bamp/issues
License: GPL-3
URL: https://volkerschmid.github.io/bamp/
NeedsCompilation: yes
Citation: bamp citation info
Materials: README NEWS
CRAN checks: bamp results

Downloads:

Reference manual: bamp.pdf
Vignettes: Short Introduction to BAMP
Bayesian Age-Period-Cohort Modeling
Bayesian Age-Period-Cohort Prediction
Simulating Age-Period-Cohort Data
Package source: bamp_2.1.0.tar.gz
Windows binaries: r-devel: bamp_2.1.0.zip, r-devel-UCRT: bamp_2.1.0.zip, r-release: bamp_2.1.0.zip, r-oldrel: bamp_2.1.0.zip
macOS binaries: r-release (arm64): bamp_2.1.0.tgz, r-release (x86_64): bamp_2.1.0.tgz, r-oldrel: bamp_2.1.0.tgz
Old sources: bamp archive

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