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bamp  

Bayesian Age-Period-Cohort Modeling and Prediction
View on CRAN: Click here


Download and install bamp package within the R console
Install from CRAN:
install.packages("bamp")

Install from Github:
library("remotes")
install_github("cran/bamp")

Install by package version:
library("remotes")
install_version("bamp", "2.1.3")



Attach the package and use:
library("bamp")
Maintained by
Volker Schmid
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-01
Latest Update: 2022-10-18
Description:
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) Bayesian Age-Period-Cohort Modeling and Prediction - BAMP, Journal of Statistical Software 21:8. This package includes checks of convergence using Gelman's R.
How to cite:
Volker Schmid (2018). bamp: Bayesian Age-Period-Cohort Modeling and Prediction. R package version 2.1.3, https://cran.r-project.org/web/packages/bamp
Previous versions and publish date:
2.0.4 (2018-12-01 00:40), 2.0.5 (2018-12-12 19:50), 2.0.6 (2019-01-08 17:20), 2.0.7 (2019-05-16 17:40), 2.0.8 (2020-01-23 23:50), 2.1.0 (2021-06-10 23:50), 2.1.1 (2022-05-05 14:50)
Other packages that cited bamp R package
View bamp citation profile
Other R packages that bamp depends, imports, suggests or enhances
Functions, R codes and Examples using the bamp R package
Some associated functions: apc.data . apc . apcSimulate . bamp . checkConvergence . coh . effects.apc . plot.apc . predict_apc . print.apc . 
Some associated R codes: apc-class.R . bamp.R . check_apc.R . coh.R . datasets.R . effects_apc.R . onattach.R . plot_apc.R . pr_aus_ksi_berechnen.R . predict_apc.R . print_apc.R . simulate_apc.R . zzz.R .  Full bamp package functions and examples
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