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 |
| 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 |
| Reference manual: | DiscreteDLM.html ,DiscreteDLM.pdf |
| 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 |
Please use the canonical formhttps://CRAN.R-project.org/package=DiscreteDLMto link to this page.