DiscreteDLM: Bayesian Distributed Lag Model Fitting for Binary and Count Response Data

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>.

Version: 1.0.0
Imports: statmod, BayesLogit, dlnm, splines, dplyr, ggplot2, ggridges, reshape2
Published: 2025-02-06
DOI: 10.32614/CRAN.package.DiscreteDLM
Author: Daniel Dempsey ORCID iD [aut, cre], Jason Wyse ORCID iD [ctb], Christian E. Galarza [ctb] (Author of the ald package, which this package derives some code from (see the COPYRIGHT file in the inst folder).), Victor H. Lachos [ctb] (Author of the ald package, which this package derives some code from (see the COPYRIGHT file in the inst folder).)
Maintainer: Daniel Dempsey <daniel.dempsey0 at gmail.com>
BugReports: https://github.com/DanDempsey/DiscreteDLM/issues
License: GPL-3
URL: https://github.com/DanDempsey/DiscreteDLM
NeedsCompilation: yes
Materials: README
CRAN checks: DiscreteDLM results

Documentation:

Reference manual: DiscreteDLM.pdf

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Package source: DiscreteDLM_1.0.0.tar.gz
Windows binaries: r-devel: DiscreteDLM_1.0.0.zip, r-release: DiscreteDLM_1.0.0.zip, r-oldrel: DiscreteDLM_1.0.0.zip
macOS binaries: r-devel (arm64): DiscreteDLM_1.0.0.tgz, r-release (arm64): DiscreteDLM_1.0.0.tgz, r-oldrel (arm64): DiscreteDLM_1.0.0.tgz, r-devel (x86_64): DiscreteDLM_1.0.0.tgz, r-release (x86_64): DiscreteDLM_1.0.0.tgz, r-oldrel (x86_64): DiscreteDLM_1.0.0.tgz

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