Distributed Lag Interaction Model R package dlim version 0.2.1 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>. Software Depends: R (>= 2.10) Imports: dlnm, ggplot2, lifecycle, mgcv, reshape2, rlang, splines, tsModel, viridis Suggests: knitr, rmarkdown Danielle Demateis <Danielle.Demateis@colostate.edu> Comprehensive R Archive Network (CRAN) Danielle Demateis [aut, cre] (ORCID: <https://orcid.org/0009-0003-0785-3962>), Kayleigh Keller [aut] (ORCID: <https://orcid.org/0000-0002-9423-2704>), Ander Wilson [aut] (ORCID: <https://orcid.org/0000-0003-4774-3883>) GPL (>= 3) 2025-06-01 application/tgz https://CRAN.R-project.org/package=dlim doi:10.32614/CRAN.package.dlim