dlmtree: Bayesian Treed Distributed Lag Models
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.
Version: |
1.0.0 |
Depends: |
R (≥ 3.5.0) |
Imports: |
Rcpp (≥ 1.0.4), dplyr, ggplot2, shiny, shinythemes, tidyr, mgcv |
LinkingTo: |
Rcpp, RcppArmadillo, RcppEigen |
Published: |
2024-05-31 |
DOI: |
10.32614/CRAN.package.dlmtree |
Author: |
Daniel Mork [aut,
cre, cph],
Seongwon Im [aut],
Ander Wilson
[aut] |
Maintainer: |
Daniel Mork <dmork at hsph.harvard.edu> |
BugReports: |
https://github.com/danielmork/dlmtree/issues |
License: |
GPL (≥ 3) |
URL: |
https://github.com/danielmork/dlmtree,
https://danielmork.github.io/dlmtree/ |
NeedsCompilation: |
yes |
SystemRequirements: |
C++11 |
Materials: |
README NEWS |
In views: |
TimeSeries |
CRAN checks: |
dlmtree results |
Documentation:
Downloads:
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