Package: bamp 2.1.3
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.
Authors:
bamp_2.1.3.tar.gz
bamp_2.1.3.tar.gz(r-4.5-noble)bamp_2.1.3.tar.gz(r-4.4-noble)
bamp_2.1.3.tgz(r-4.4-emscripten)bamp_2.1.3.tgz(r-4.3-emscripten)
bamp.pdf |bamp.html✨
bamp/json (API)
NEWS
# Install 'bamp' in R: |
install.packages('bamp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/volkerschmid/bamp/issues
Pkgdown site:https://volkerschmid.github.io
- cases - Example dataset for APC model
- cov_c - Example dataset for APC model
- cov_p - Example dataset for APC model
- population - Example dataset for APC model
Last updated 2 years agofrom:8108ae435d. Checks:OK: 1 WARNING: 1. Indexed: no.
Target | Result | Date |
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Doc / Vignettes | OK | Dec 08 2024 |
R-4.5-linux-x86_64 | WARNING | Dec 08 2024 |
Bayesian Age-Period-Cohort Modeling
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usingR.rsp::asis
on Dec 08 2024.Last update: 2018-11-30
Started: 2018-11-30
Bayesian Age-Period-Cohort Prediction
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on Dec 08 2024.Last update: 2018-11-30
Started: 2018-11-30
Short Introduction to BAMP
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on Dec 08 2024.Last update: 2020-01-23
Started: 2020-01-23
Simulating Age-Period-Cohort Data
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usingR.rsp::asis
on Dec 08 2024.Last update: 2018-11-30
Started: 2018-11-30
Readme and manuals
Help Manual
Help page | Topics |
---|---|
apc S3 class | apc |
Example dataset for APC model | apc.data cases cov_c cov_p population |
Simulate from age-period-cohort model | apcSimulate |
Bayesian Age-Period-Cohort Modeling and Prediction (bamp) | bamp |
Check apc object, whether MCMC has converged | checkConvergence |
Compute cohort index from age and period index | coh |
Effects from Fitted APC Model | effects.apc |
Plot apc object | plot.apc |
Prediction for age-period-cohort models | predict_apc |
Print apc objects | print print.apc |