Estimation of distributed lag models (DLMs) based on a Bayesian additive regression trees framework. Includes several extensions of DLMs: treed DLMs and distributed lag mixture models (Mork and Wilson, 2023) <doi:10.1111/biom.13568>; treed distributed lag nonlinear models (Mork and Wilson, 2022) <doi:10.1093/biostatistics/kxaa051>; heterogeneous DLMs (Mork, et. al., 2024) <doi:10.1080/01621459.2023.2258595>; monotone DLMs (Mork and Wilson, 2024) <doi:10.1214/23-BA1412>. The package also includes visualization tools and a 'shiny' interface to help interpret results.
Package details |
|
---|---|
Author | Daniel Mork [aut, cre, cph] (<https://orcid.org/0000-0002-7924-0706>), Seongwon Im [aut] (<https://orcid.org/0009-0000-8447-5852>), Ander Wilson [aut] (<https://orcid.org/0000-0003-4774-3883>) |
Maintainer | Daniel Mork <dmork@hsph.harvard.edu> |
License | GPL (>= 3) |
Version | 1.0.0 |
URL | https://github.com/danielmork/dlmtree https://danielmork.github.io/dlmtree/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.