DiscreteDLM: Bayesian Distributed Lag Model Fitting for Binary and Count Response Data (original) (raw)

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 [aut, cre], Jason Wyse [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:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=DiscreteDLMto link to this page.