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 check model convergence and to help interpret results.
Version: 1.1.0 Depends: R (≥ 3.5.0) Imports: Rcpp (≥ 1.0.4), dplyr, ggplot2, shiny, shinythemes, tidyr, mgcv, ggridges, coda LinkingTo: Rcpp, RcppArmadillo, RcppEigen Published: 2025-04-25 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: Linking:Please use the canonical form https://CRAN.R-project.org/package=dlmtree to link to this page.
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