R Observatory: Metrics for bamp version 3.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bamp

3.0.0Package record

Bayesian Age-Period-Cohort Modeling and Prediction

0packages depend

4.7Kdownloads / year

19.4%test coverage

13/13flavors OK

Overview

About

Maintained by Volker SchmidCRAN page ↗GitHub ↗Website ↗Issues ↗

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.

Changes in 3.0.0

Major release. The Polya-Gamma sampler and its native C engine, DIC-based selectModel(), and the identifiability-aware convergence diagnostics in this release were contributed by Chris Kypridemos.

New Polya-Gamma Gibbs sampler (method = "pg", now the default): a joint Polya-Gamma data-augmentation sampler with exact full conditionals and no Metropolis tuning. Supports overdispersion, age/period/cohort heterogeneity and period/cohort covariates natively. The legacy Taylor sampler remains available via method = "taylor".
Native C implementation of the Polya-Gamma sampler (pg_engine = "C", the default) with an equivalent pure-R reference (pg_engine = "R"); the two agree to numerical tolerance.
mcmc.options values number_of_iterations, burn_in and step may now be set to "auto" (the default), which chooses the MCMC length from the rarity of the data. Any value given as a number is used exactly as before.

Show all changes in 3.0.0Hide the rest of the changes in 3.0.0

New selectModel(): automatic APC model selection by DIC.
New prior_scale argument for method = "pg".
checkConvergence() now assesses the identified quantities (smoothing precisions, intercept and the fitted linear predictor per Lexis cell), which are invariant to the age-period-cohort trend aliasing, rather than the raw effect chains that drift along the non-identified trend.
effects.apc() and plot.apc() gain a convention argument that fixes the non-identified linear trend to a chosen display gauge, making the effect curves reproducible between runs; plot.apc() also handles any number of quantiles and zero-covariate models.
print.apc() now also reports the intercept (5%/50%/95% quantiles).
Fixed predict_apc(periods = 0) crash (downward-sequence off-by-one).
Fixed predict_apc() logit overflow: use plogis() instead of exp(x)/(1+exp(x)), which returned NaN for large forecast logits and crashed downstream.
Fixed bamp(): age/period/cohort = NULL is now accepted (previously errored with "argument is of length zero").
Fixed predict_apc(): age-period models without a cohort effect can now be predicted, and non-integer population/exposure no longer produces NA.
bamp(..., method = "pg"): a chain that fails under forked parallelism (parallel::mclapply) now reports its actual error instead of the opaque "subscript out of bounds" that resulted from silently indexing into the failed chain's result.
Fixed bamp()'s convergence warning being tied to verbose backwards: it now prints the "did not converge" message when verbose = TRUE and stays silent when verbose = FALSE, as intended.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("bamp", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("volkerschmid/bamp")

Development version from volkerschmid/bamp. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bamp

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-bamp

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bamp

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.9 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-10

Show 1 earlier changeHide 1 earlier change

NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 3.0.0

READMEYes · 439 wordsVignettesYes · 4 · staticNEWSYes · 100% structured · mentions 3.0.0Citation fileYes · cites a publicationWebsiteYes · pkgdown

Description cites a JSS article

Help pages: 11
Examples that run: 33%3 run in a plain check · 6 never run
Exported functions with examples: 86%
Documented parameters: 86%
Return-value docs: 86%
Help pages citing references: 0%

Vignettes (4)

How these are measured

Downloads

4.7K

CRAN downloads in the past year

Rank #5,802 · ~13/day · ~391/mo

Releases R versions

Daily download trend is not available in this view yet.

49830 days

1.4K90 days

4.7K1 year

Compare downloads with other packages →

Also on429 r2u45 autocran

How downloads are counted

Repository

volkerschmid/bamp ↗Account: volkerschmid

11Stars

4Forks

1Open issues

0Open PRs

1Releases

198Commits

7Commit identities

198 commits · Last activity 2026-08-31 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 8
Median days to close, 50 most recently updated closed PRs: 3

Stars over time

2025-04-04 · 102026-07-07 · 11

How these are measured

PracticesBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/volkerschmid/bamp on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-08-31 · The repository has a site deploy workflow

pkgdown site last built 2026-08-08, before release 3.0.0 (2026-08-31)

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen on or before 2026-07-03
Commits: at least 12 crediting it in the message

Models named in its commits

Claude Opus 4.812 commits · Jul 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing bamp adds 2 packages (0 with compiled code, 94 KB of source tarballs). Heaviest: coda 73 KB, abind 21 KB.

Depends (1)

R >= 3.5.0

Imports (5)

codagraphicsparallelstatsabind

LinkingTo (0)

none

Suggests (4)

knitr rmarkdown R.rsp testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (5)

Volker Schmid

Author, Maintainer since 2.0.4 (2018)

Chris Kypridemos

Author · added in 3.0.0

Florian Geressen

Contributor

Leonhard Held

Contributor

Evi Rainer

Contributor

Releases (11)

Pick two releases to compare their code metrics.

3.0.0Latest
record
2026-08-31 · current release · diff ↗ ·
added 1 export
selectModel
2.2.0
record
2026-06-21 · diff ↗
2.1.5
record
2026-06-06 · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
2.1.3
record
2022-10-18 · diff ↗
2.1.1
record
2022-05-05 · diff ↗
R
R 4.2.0 released · 2022-04-22
2.1.0
record
2021-06-10 · diff ↗
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
unarchivedReturned to CRAN
2020-01-23
2.0.8
record
2020-01-23 · diff ↗
archivedRemoved from CRAN
2020-01-16
check issues were not corrected in time 'Additional issues'

Show 6 earlier eventsHide 6 earlier events

2.0.7
record
2019-05-16 · diff ↗
R
R 3.6.0 released · 2019-04-26
2.0.6
record
2019-01-08 · diff ↗
2.0.5
record
2018-12-12 · diff ↗
2.0.4
record
2018-12-01
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-12-01
Total releases: 11 / 8 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 1.3 KB / 1 file
Download size: 1.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bamp")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bamp version 3.0.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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