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DiscreteDLM: Bayesian Distributed Lag Model Fitting for Binary and CountResponse 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 DempseyORCID iD [aut, cre], Jason WyseORCID 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.html ,DiscreteDLM.pdf

Downloads:

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-release (arm64):DiscreteDLM_1.0.0.tgz, r-oldrel (arm64):DiscreteDLM_1.0.0.tgz, r-release (x86_64):DiscreteDLM_1.0.0.tgz, r-oldrel (x86_64):DiscreteDLM_1.0.0.tgz

Linking:

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