Package: dlim 0.2.1

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>.

Authors:Danielle Demateis [aut, cre], Kayleigh Keller [aut], Ander Wilson [aut]

dlim_0.2.1.tar.gz
dlim_0.2.1.zip(r-4.7)dlim_0.2.1.zip(r-4.6)dlim_0.2.1.zip(r-4.5)
dlim_0.2.1.tgz(r-4.6-any)dlim_0.2.1.tgz(r-4.5-any)
dlim_0.2.1.tar.gz(r-4.6-any)dlim_0.2.1.tar.gz(r-4.5-any)
dlim_0.2.1.tgz(r-4.5-emscripten)
dlim.pdf |dlim.html✨
dlim/json (API)
NEWS

# Install 'dlim' in R:
install.packages('dlim', repos = c('https://ddemateis.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ddemateis/dlim/issues

Pkgdown/docs site:https://ddemateis.github.io

Datasets:

On CRAN:

Conda:

4.60 score 4 stars 6 scripts 739 downloads 8 exports 31 dependencies

Last updated from:f04491334d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK150
source / vignettesOK179
linux-release-x86_64OK144
macos-release-arm64OK152
macos-oldrel-arm64OK182
windows-develOK101
windows-releaseOK109
windows-oldrelOK112
wasm-releaseOK113

Exports:cross_basisdlimmodel_comparisonplot_cumulativeplot_DLFsim_datasim_dlfsim_dlim

Dependencies:clicpp11dlnmfarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMatrixmgcvnlmeplyrR6RColorBrewerRcppreshape2rlangS7scalesstringistringrtsModelvctrsviridisviridisLitewithr

Distributed Lag Interaction Model Overview

Rendered fromdlimOverview.Rmdusingknitr::rmarkdownon Apr 12 2026.

Last update: 2025-05-31
Started: 2023-04-27