R Observatory: Metrics for badp version 0.8.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

badp

0.8.0Package record

Bayesian Averaging for Dynamic Panels

0packages depend

4Kdownloads / year

88.3%test coverage

13/13flavors OK

Overview

About

Maintained by Marcin DubelCRAN page ↗GitHub ↗Website ↗Issues ↗

Implements Bayesian model averaging for dynamic panels with weakly exogenous regressors as described in the paper by Moral-Benito (2013, doi:10.1080/07350015.2013.818003). The package provides functions to estimate dynamic panel data models and analyze the results of the estimation.

Changes in 0.8.0

This release completes the accessor interface in response to the second review

of the manuscript submitted to the Journal of Statistical Software. All changes

are additive: no existing function, argument, component name or position was

changed or removed.

Extracting results from a model space

New accessor model_table() returns one row per model of a badp_model_space: the included regressors, their number, the maximized log-likelihood and the convergence flag. sort_by orders the models by log-likelihood or size and top keeps the first rows, so that ranking the estimated models no longer requires indexing the parameter and statistics matrices.
New accessors coef() and model_stats() for badp_model_space. coef() returns the parameter matrix with every row labeled and the columns named model_1, model_2, ..., or the parameters of one model with model = j. model_stats() returns the statistics matrix with named rows (loglik, marg_lik, se_<name>, robust_se_<name>, trace_HinvJ, n_params, rank_J), which were previously identified only by position.

Show all changes in 0.8.0Hide the rest of the changes in 0.8.0

New logLik() methods for badp_model_space (one model, selected by its position) and for the individual models returned by best_models(). They return standard "logLik" objects with df and nobs attributes, so that AIC() and BIC() apply. The value is the exact log-likelihood at the estimates.
bma() results gained three components, loglik, n_params and nobs, appended after the existing ones so that no name or position changes. best_models() passes them to each model, together with the model's position in the model space (model), and print() on a single model now reports its log-likelihood.

From NEWS.md in the release

Install

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

install.packages("badp", 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("badp-project/badp")

Development version from badp-project/badp. 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-badp

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-badp

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-badp

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: 4.7 min · r-oldrel-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
OK12 OK2026-04-25

Show 3 earlier changesHide 3 earlier changes

NOTE13 OK, 1 NOTE2026-04-22
ERROR12 OK, 1 NOTE, 1 ERROR2026-04-18
NOTE6 OK, 1 NOTE2026-03-12

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.8.0

READMEYes · 898 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.8.0Citation fileNoWebsiteYes · pkgdown

Help pages: 71 (18 internal)
Examples that run: 54%30 run in a plain check · 26 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 90%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

badp: Bayesian Model Averaging for Dynamic Panels

How these are measured

Downloads

4K

CRAN downloads in the past year

Rank #6,329 · ~11/day · ~329/mo

Releases R versions

Daily download trend is not available in this view yet.

58530 days

1.3K90 days

4K1 year

Compare downloads with other packages →

Also on344 r2u42 autocran

How downloads are counted

Repository

badp-project/badp ↗Organization: badp-project

0Stars

0Forks

24Open issues

5Open PRs

8Releases

430Commits

4Commit identities

430 commits · Last activity 2026-03-30 · The default branch showed an older version (0.4.0.1) than CRAN on 2026-10-18

Responsiveness

How these are sampled

PRs merged (all time): 85%
Median days to close, 50 most recently updated closed issues: 2
Median days to close, 50 most recently updated closed PRs: 5

Releases over time

2025-10-01 · 32026-09-15 · 8

How these are measured

PracticesBeta

12 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/badp-project/badp on 2026-10-18.

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 (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-03-30 · The repository has a site deploy workflow

Reproducibility and dev environment (3)

renvdata-raw/Dockerfile

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-09-14
Pull request it wrote: opened by a project member

How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Installing badp adds 37 packages (20 with compiled code, 37 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, patchwork 3.2 MB.

Depends (1)

R >= 4.4

Imports (15)

dplyr ggplot2gridgridExtra magrittrparallelpatchwork pbapply rje rlang RTMBstatstibble tidyr tidyselect

LinkingTo (0)

none

Suggests (5)

knitr pkgdown rmarkdown spelling 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 (6)

Marcin Dubel

Author, Maintainer since 0.4.0 (2026)

Author

Author

Author

Author

Copyright holder · added in 0.6.1

Releases (7)

Pick two releases to compare their code metrics.

0.8.0Latest
record
2026-09-22 · current release · diff ↗ ·
added 2 exports
model_stats, model_table
0.7.0
record
2026-08-31 · diff ↗ ·
added 9 exports
bma_table, convergence, learning_rate, model_size_table, n_models, pip, pmp, regressors, weighting
0.6.1
record
2026-08-31 · diff ↗
0.6.0
record
2026-08-20 · diff ↗ ·
removed 1 export
hessian
0.5.0
record
2026-05-14 · diff ↗
R
R 4.6.0 released · 2026-04-24
0.4.0.1
record
2026-03-14 · diff ↗
0.4.0
record
2026-03-11
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-11
Total releases: 7 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.4
Bundled data: 1.0 MB / 9 files
Download size: 2.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("badp")

Format

Dubel, M., badp authors, Beck, K., Cukier, P., Szczepanczyk, M., & Wyszynski, M. (2026). badp: Bayesian Averaging for Dynamic Panels (Version 0.8.0) [Computer software]. https://doi.org/10.32614/CRAN.package.badp

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 badp version 0.8.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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