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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 |
DOI: | 10.32614/CRAN.package.bamp |
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 |
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_2.1.3.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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.