dlim: Distributed Lag Interaction Model (original) (raw)
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: | 0.1.0 |
|---|---|
| Depends: | R (≥ 2.10) |
| Imports: | dlnm, ggplot2, mgcv, reshape2, rlang, splines, tsModel, viridis |
| Suggests: | rmarkdown, knitr |
| Published: | 2024-02-29 |
| 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> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | dlim citation info |
| Materials: | README |
| CRAN checks: | dlim results |
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