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: 0.1.0
Depends: R (≥ 2.10)
Imports: dlnm, ggplot2, mgcv, reshape2, rlang, splines, tsModel, viridis
Suggests: rmarkdown, knitr
Published: 2024-02-29
Author: Danielle Demateis ORCID iD [aut, cre], Kayleigh Keller ORCID iD [aut], Ander Wilson ORCID iD [aut]
Maintainer: Danielle Demateis <Danielle.Demateis at colostate.edu>
License: GPL-3
NeedsCompilation: no
Citation: dlim citation info
Materials: README
CRAN checks: dlim results

Documentation:

Reference manual: dlim.pdf
Vignettes: dlimOverview

Downloads:

Package source: dlim_0.1.0.tar.gz
Windows binaries: r-prerel: dlim_0.1.0.zip, r-release: dlim_0.1.0.zip, r-oldrel: dlim_0.1.0.zip
macOS binaries: r-prerel (arm64): dlim_0.1.0.tgz, r-release (arm64): dlim_0.1.0.tgz, r-oldrel (arm64): dlim_0.1.0.tgz, r-prerel (x86_64): dlim_0.1.0.tgz, r-release (x86_64): dlim_0.1.0.tgz

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