Collection of functions for fitting and interpreting distributed lag interaction models (DLIM). A DLIM regresses a scalar outcome on repeated measures of exposure and allows for modification by a continuous variable. Includes a dlim() function for fitting, predict() function for inference, and plotting functions for visualization. Details on methodology are described in Demateis et al. (2024) <doi:10.1002/env.2843>.
Version: 0.2.1 Depends: R (≥ 2.10) Imports: dlnm, ggplot2, lifecycle, mgcv, reshape2, rlang, splines, tsModel, viridis Suggests: knitr, rmarkdown Published: 2025-06-01 DOI: 10.32614/CRAN.package.dlim Author: Danielle Demateis [aut, cre], Kayleigh Keller [aut], Ander Wilson [aut] Maintainer: Danielle Demateis <Danielle.Demateis at colostate.edu> BugReports: https://github.com/ddemateis/dlim/issues License: GPL (≥ 3) URL: https://ddemateis.github.io/dlim/, https://github.com/ddemateis/dlim NeedsCompilation: no Citation: dlim citation info Materials: README NEWS CRAN checks: dlim results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=dlim to link to this page.
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