bdlim: Bayesian Distributed Lag Interaction Models

Estimation and interpretation of Bayesian distributed lag interaction models (BDLIMs). A BDLIM regresses a scalar outcome on repeated measures of exposure and allows for modification by a categorical variable under four specific patterns of modification. The main function is bdlim(). There are also summary and plotting files. Details on methodology are described in Wilson et al. (2017) <doi:10.1093/biostatistics/kxx002>.

Version: 0.4.2
Depends: R (≥ 2.10)
Imports: dplyr, tidyr, LaplacesDemon, ggplot2, parallel, BayesLogit
Published: 2024-06-12
DOI: 10.32614/CRAN.package.bdlim
Author: Ander Wilson ORCID iD [aut, cre]
Maintainer: Ander Wilson <ander.wilson at>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: bdlim citation info
Materials: README NEWS
CRAN checks: bdlim results


Reference manual: bdlim.pdf


Package source: bdlim_0.4.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bdlim_0.4.2.tgz, r-oldrel (arm64): bdlim_0.4.2.tgz, r-release (x86_64): bdlim_0.4.2.tgz, r-oldrel (x86_64): bdlim_0.4.2.tgz
Old sources: bdlim archive


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