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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