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 |
| 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 |
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