R Observatory: Metrics for DiscreteDLM version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

DiscreteDLM

1.0.0Package record

Bayesian Distributed Lag Model Fitting for Binary and Count Response Data

0packages depend

2.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Daniel DempseyCRAN page ↗GitHub ↗Issues ↗

Tools for fitting Bayesian Distributed Lag Models (DLMs) to longitudinal response data that is a count or binary. Count data is fit using negative binomial regression and binary is fit using quantile regression. The contribution of the lags are fit via b-splines. In addition, infers the predictor inclusion uncertainty. Multimomial models are not supported. Based on Dempsey and Wyse (2025) doi:10.48550/arXiv.2403.03646.

Install

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

install.packages("DiscreteDLM", 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("DanDempsey/DiscreteDLM")

Development version from DanDempsey/DiscreteDLM. 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-discretedlm

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-DiscreteDLM

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-DiscreteDLM

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: 3.2 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 983 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 6includes a package overview page
Examples that run: 100%4 run in a plain check
Exported functions with examples: 100%
Documented parameters: 89%
Return-value docs: 100%
Help pages citing references: 50%

How these are measured

Downloads

2.1K

CRAN downloads in the past year

Rank #22,460 · ~6/day · ~177/mo

Releases R versions

Daily download trend is not available in this view yet.

22430 days

58590 days

2.1K1 year

Compare downloads with other packages →

Also on352 r2u2 autocran

How downloads are counted

Repository

dandempsey/discretedlm ↗Account: DanDempsey

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2025-02-06

Responsiveness

not measured

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/dandempsey/discretedlm on 2026-10-18.

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing DiscreteDLM adds 35 packages (18 with compiled code, 33 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, ggridges 2.1 MB.

Depends (0)

none

Imports (8)

statmod BayesLogit dlnmsplinesdplyr ggplot2 ggridges reshape2

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (4)

Daniel Dempsey

Author, Maintainer since 1.0.0 (2025)

Christian E. Galarza

Contributor

Author of the ald package, which this package derives some code from (see the COPYRIGHT file in the inst folder).

Victor H. Lachos

Contributor

Author of the ald package, which this package derives some code from (see the COPYRIGHT file in the inst folder).

Jason Wyse

Contributor

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.0.0Latest
record
2025-02-06 · current release
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-02-06
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Download size: 225 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DiscreteDLM")

Format

Dempsey, D., Galarza, C. E., Lachos, V. H., & Wyse, J. (2025). DiscreteDLM: Bayesian Distributed Lag Model Fitting for Binary and Count Response Data (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.DiscreteDLM

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 DiscreteDLM version 1.0.0 [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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