Data example | APC model with random walk first order prior | Prediction
Package: bamp 3.0.0
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_3.0.0.tar.gz
bamp_3.0.0.zip(r-4.7-x86_64)bamp_3.0.0.zip(r-4.7-arm64)bamp_3.0.0.zip(r-4.6-x86_64)bamp_3.0.0.zip(r-4.6-arm64)bamp_3.0.0.zip(r-4.5-x86_64)
bamp_3.0.0.tgz(r-4.6-x86_64)bamp_3.0.0.tgz(r-4.6-arm64)bamp_3.0.0.tgz(r-4.5-x86_64)bamp_3.0.0.tgz(r-4.5-arm64)
bamp_3.0.0.tar.gz(r-4.7-arm64)bamp_3.0.0.tar.gz(r-4.7-x86_64)bamp_3.0.0.tar.gz(r-4.6-arm64)bamp_3.0.0.tar.gz(r-4.6-x86_64)
bamp_3.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bamp/json (API)
| # Install 'bamp' in R: |
| install.packages('bamp', repos = c('https://volkerschmid.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/volkerschmid/bamp/issues
Pkgdown/docs site:https://volkerschmid.github.io
Datasets:
- 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 from:51098bb14f. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 138 | ||
| linux-devel-x86_64 | OK | 113 | ||
| source / vignettes | OK | 185 | ||
| linux-release-arm64 | OK | 91 | ||
| linux-release-x86_64 | OK | 117 | ||
| macos-release-arm64 | OK | 172 | ||
| macos-release-x86_64 | OK | 294 | ||
| macos-oldrel-arm64 | OK | 143 | ||
| macos-oldrel-x86_64 | OK | 330 | ||
| windows-devel-arm64 | OK | 376 | ||
| windows-devel-x86_64 | OK | 144 | ||
| windows-release-arm64 | OK | 392 | ||
| windows-release-x86_64 | OK | 76 | ||
| windows-oldrel-x86_64 | OK | 107 | ||
| wasm-release | OK | 94 |
Exports:apcapcSimulatebampcheckConvergencecohpredict_apcselectModel
Short Introduction to BAMP
Last update: 2020-01-21
Started: 2020-01-21
Bayesian Age-Period-Cohort Modeling
Data example | APC model with random walk first order prior
Last update: 2018-10-30
Started: 2018-10-08
Bayesian Age-Period-Cohort Prediction
Prediction
Last update: 2018-10-30
Started: 2018-10-08
Simulating Age-Period-Cohort Data
Last update: 2018-10-30
Started: 2018-10-08
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 |
| Automatic model selection for age-period-cohort models | selectModel |