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 form https://CRAN.R-project.org/package=DiscreteDLM to link to this page.
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