Bayesian Distributed Lag Model Fitting for Binary and Count Response Data [R package DiscreteDLM version 1.0.0]

Daniel Dempsey

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年02月06日

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