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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>.
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Package details |
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| Author | Daniel Dempsey [aut, cre] (<https://orcid.org/0000-0003-0899-5412>), Jason Wyse [ctb] (<https://orcid.org/0000-0003-1391-7371>), 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@gmail.com> |
| License | GPL-3 |
| Version | 1.0.0 |
| URL | https://github.com/DanDempsey/DiscreteDLM |
| Package repository | View on CRAN |
| Installation |
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