dlim: Distributed Lag Interaction Model

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

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