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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 ORCID iD [aut, cre, cph], Seongwon Im ORCID iD [aut], Ander Wilson ORCID iD [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:

Reference manual: dlmtree.pdf

Downloads:

Package source: dlmtree_1.0.0.tar.gz
Windows binaries: r-devel: dlmtree_1.0.0.zip, r-release: dlmtree_1.0.0.zip, r-oldrel: dlmtree_1.0.0.zip
macOS binaries: r-release (arm64): dlmtree_1.0.0.tgz, r-oldrel (arm64): dlmtree_1.0.0.tgz, r-release (x86_64): dlmtree_1.0.0.tgz, r-oldrel (x86_64): dlmtree_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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