Package: dlmtree Type: Package Title: Bayesian Treed Distributed Lag Models Version: 1.1.1 Authors@R: c( person("Daniel", "Mork", email = "dmork@hsph.harvard.edu", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-7924-0706")), person("Seongwon", "Im", email = "Seongwon.Im@colostate.edu", role = "aut", comment = c(ORCID = "0009-0000-8447-5852")), person("Ander", "Wilson", email = "Ander.Wilson@colostate.edu", role = "aut", comment = c(ORCID = "0000-0003-4774-3883"))) 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) ; treed distributed lag nonlinear models (Mork and Wilson, 2022) ; heterogeneous DLMs (Mork, et. al., 2024) ; monotone DLMs (Mork and Wilson, 2024) . The package also includes visualization tools and a 'shiny' interface to check model convergence and to help interpret results. License: GPL (>= 3) Encoding: UTF-8 LazyData: false Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.4), dplyr, ggplot2, shiny, shinythemes, tidyr, mgcv, ggridges, coda LinkingTo: Rcpp, RcppArmadillo, RcppEigen RoxygenNote: 7.3.2 URL: https://github.com/danielmork/dlmtree, https://danielmork.github.io/dlmtree/ BugReports: https://github.com/danielmork/dlmtree/issues Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev Repository: https://danielmork.r-universe.dev Date/Publication: 2026-05-11 19:57:57 UTC RemoteUrl: https://github.com/danielmork/dlmtree RemoteRef: HEAD RemoteSha: ea95f047e83e856cf965c191bed06f064980d48c NeedsCompilation: yes Packaged: 2026-07-10 06:23:04 UTC; root Author: Daniel Mork [aut, cre, cph] (ORCID: ), Seongwon Im [aut] (ORCID: ), Ander Wilson [aut] (ORCID: ) Maintainer: Daniel Mork