DiscreteDLM
1.0.0Bayesian Distributed Lag Model Fitting for Binary and Count Response Data
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 89%
- Return-value docs
- 100%
- References docs
- 50%
Downloads
Repository
Repository practices
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/dandempsey/discretedlm on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-02-06
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Download size
- 225 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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