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.
- Version1.0.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/06/2025
Documentation
Team
Daniel Dempsey
MaintainerShow author detailsChristian E. Galarza
Show author detailsRolesContributorJason Wyse
Victor H. Lachos
Show author detailsRolesContributor
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Dependencies
- Imports7 packages