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bamp
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]
[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. Accessed 25 Jun. 2026.
Previous versions and publish date:
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Other R packages that bamp depends,
imports, suggests or enhances
Complete documentation for bamp
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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