R Observatory: Metrics for bdlnm version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bdlnm

0.1.1

Bayesian Distributed Lag Non-Linear Models (B-DLNM)

0packages depend

2.4Kdownloads / year

0.2%test coverage

13/13checks pass

Overview

About

Maintained by Pau SatorraFirst published 2026-03-182 releasesCRAN page ↗GitHub ↗

A Bayesian framework for estimating distributed lag linear and non-linear models. Model fitting is implemented using Integrated Nested Laplace Approximation (R package 'INLA'), together with prediction and visualization of exposure-lag-response associations. Additional functions allow estimation of optimal exposure values (e.g., minimum mortality temperature) and computation of attributable fractions and numbers. Models with 'crossbasis' or 'onebasis' terms are supported (R package 'dlnm').

Install

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

install.packages("bdlnm", 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("pasahe/bdlnm")

Development version from pasahe/bdlnm. 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-bdlnm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-bdlnm

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-bdlnm

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 9.2 min · r-release-macos-x86_64

Code health

Yes

Tests · ratio 0.38

0.2%

Coverage · measured lines

100%

Documentation · exports

8

Dependencies · direct

Check history

OK2026-08-12
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-08
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-22
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 5 earlier snapshots

ERROR2026-06-20
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-05-14
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-05-07
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-19
5 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 207 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 95%
Return-value docs: 100%
References docs: 88%

Downloads

2.4K

CRAN downloads in the past year

Rank #7,371 · ~7/day · ~202/mo

Releases R versions

Daily download trend is not available in this view yet.

23930 days

1.2K90 days

2.4K1 year

Compare downloads with other packages →

Also on49 r2u20 autocran

Repository

GitHub ↗ pasahe/bdlnm

5Stars

0Forks

2Open issues

0Open PRs

0Releases

109Commits

3Contributors

License GPL-3.0 · 109 commits · Last activity 2026-08-05 · 0% stars, 30d

Stars over time

2026-03-23 · 22026-07-07 · 5

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/pasahe/bdlnm on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

Show all practices

Coverage (1)

Codecov

Governance and community (2)

Issue templatesSupport guide

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.4

Imports (8)

dlnm cli tsModel crsgraphicsgrDevicesstatsutils

LinkingTo (0)

none

Suggests (9)

INLA knitr rmarkdown testthat snsplinestidyr lubridate ggplot2

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (6)

Maintainer (1)

Pau Satorra

Author, Maintainer

Authors (5)

Pau Satorra

Author, Maintainer

Joan Ballester

Author

Miguel A. Martínez-Beneito

Author, Thesis advisor

Marc Marí-Dell'Olmo

Author, Thesis advisor

Marcos Quijal-Zamorano

Author

Contributors (1)

Cristian Tebé

Contributor

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

0.1.1Latest
2026-06-19 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.1.0
2026-03-18
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-18
Total releases: 2 / 1 yrs
License: GPL (>= 3) OSI
Additional repositories: inla.r-inla-download.org
Minimum R: ≥ 4.4
Bundled data: 37 KB / 1 file
Download size: 365 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bdlnm")

Format

Satorra, P., Ballester, J., Martínez-Beneito, M. A., Marí-Dell'Olmo, M., Quijal-Zamorano, M., & Tebé, C. (2026). bdlnm: Bayesian Distributed Lag Non-Linear Models (B-DLNM) (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.bdlnm

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 bdlnm version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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