<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Bayesian Treed Distributed Lag Models</dc:title>
  <dc:title>R package dlmtree version 1.1.1</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc: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) &lt;doi:10.1111/biom.13568&gt;; treed distributed lag nonlinear models (Mork and Wilson, 2022) &lt;doi:10.1093/biostatistics/kxaa051&gt;; heterogeneous DLMs (Mork, et. al., 2024) &lt;doi:10.1080/01621459.2023.2258595&gt;; monotone DLMs (Mork and Wilson, 2024) &lt;doi:10.1214/23-BA1412&gt;. The package also includes visualization tools and a 'shiny' interface to check model convergence and to help interpret results.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 1.0.4), dplyr, ggplot2, shiny, shinythemes, tidyr,
mgcv, ggridges, coda</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo, RcppEigen</dc:relation>
  <dc:creator>Daniel Mork &lt;dmork@hsph.harvard.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Daniel Mork [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-7924-0706&gt;),
  Seongwon Im [aut] (ORCID: &lt;https://orcid.org/0009-0000-8447-5852&gt;),
  Ander Wilson [aut] (ORCID: &lt;https://orcid.org/0000-0003-4774-3883&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2026-02-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=dlmtree</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.dlmtree</dc:identifier>
</oai_dc:dc>
