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:	2.1.3
Depends:	R (≥ 3.5.0)
Imports:	coda, graphics, parallel, stats, abind
Suggests:	knitr, rmarkdown, R.rsp
Published:	2022-10-18
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

Documentation:

Reference manual:	bamp.pdf
Vignettes:	Short Introduction to BAMP Bayesian Age-Period-Cohort Modeling Bayesian Age-Period-Cohort Prediction Simulating Age-Period-Cohort Data

Downloads:

Package source:	bamp_2.1.3.tar.gz
Windows binaries:	r-devel: bamp_2.1.3.zip, r-release: bamp_2.1.3.zip, r-oldrel: bamp_2.1.3.zip
macOS binaries:	r-release (arm64): bamp_2.1.3.tgz, r-oldrel (arm64): bamp_2.1.3.tgz, r-release (x86_64): bamp_2.1.3.tgz, r-oldrel (x86_64): bamp_2.1.3.tgz
Old sources:	bamp archive

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