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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | DiscreteDLM_1.0.0.tar.gz |
277.1 KiB |
1.0.0 |
rolling linux/noble R-4.5 | DiscreteDLM_1.0.0.tar.gz |
277.1 KiB |
1.0.0 |
rolling source/ R- | DiscreteDLM_1.0.0.tar.gz |
231.5 KiB |
1.0.0 |
latest linux/jammy R-4.5 | DiscreteDLM_1.0.0.tar.gz |
277.1 KiB |
1.0.0 |
latest linux/noble R-4.5 | DiscreteDLM_1.0.0.tar.gz |
277.1 KiB |
1.0.0 |
latest source/ R- | DiscreteDLM_1.0.0.tar.gz |
231.5 KiB |
1.0.0 |
2026-04-26 source/ R- | DiscreteDLM_1.0.0.tar.gz |
231.5 KiB |
1.0.0 |
2026-04-23 source/ R- | DiscreteDLM_1.0.0.tar.gz |
231.5 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | DiscreteDLM_1.0.0.zip |
291.7 KiB |
1.0.0 |
2025-04-20 source/ R- | DiscreteDLM_1.0.0.tar.gz |
231.5 KiB |