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 |
Documentation:
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