dlmtree-package: dlmtree: Bayesian Treed Distributed Lag Models

In dlmtree: Bayesian Treed Distributed Lag Models

dlmtree: Bayesian Treed Distributed Lag Models

Description

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/biom.13568")}; treed distributed lag nonlinear models (Mork and Wilson, 2022) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/biostatistics/kxaa051")}; heterogeneous DLMs (Mork, et. al., 2024) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.2023.2258595")}; monotone DLMs (Mork and Wilson, 2024) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/23-BA1412")}. The package also includes visualization tools and a 'shiny' interface to help interpret results.

Author(s)

Maintainer: Daniel Mork [e-mail] (ORCID) [copyright holder]

Authors:

• Seongwon Im [e-mail] (ORCID)

• Ander Wilson [e-mail] (ORCID)

See Also

Useful links:

• https://github.com/danielmork/dlmtree

• https://danielmork.github.io/dlmtree/

• Report bugs at https://github.com/danielmork/dlmtree/issues

dlmtree documentation built on June 22, 2024, 10:05 a.m.