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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:0.5.0
Depends:R (≥ 2.10)
Imports:LaplacesDemon,ggplot2, parallel,BayesLogit
Published:2025-06-11
DOI:10.32614/CRAN.package.bdlim
Author:Ander WilsonORCID iD [aut, cre]
Maintainer:Ander Wilson <ander.wilson at colostate.edu>
BugReports:https://github.com/anderwilson/bdlim/issues/
License:GPL (≥ 3)
URL:https://anderwilson.github.io/bdlim/,https://github.com/AnderWilson/bdlim/
NeedsCompilation:no
Citation:bdlim citation info
Materials:README,NEWS
CRAN checks:bdlim results

Documentation:

Reference manual:bdlim.html ,bdlim.pdf

Downloads:

Package source: bdlim_0.5.0.tar.gz
Windows binaries: r-devel:bdlim_0.5.0.zip, r-release:bdlim_0.5.0.zip, r-oldrel:bdlim_0.5.0.zip
macOS binaries: r-release (arm64):bdlim_0.5.0.tgz, r-oldrel (arm64):bdlim_0.5.0.tgz, r-release (x86_64):bdlim_0.5.0.tgz, r-oldrel (x86_64):bdlim_0.5.0.tgz
Old sources: bdlim archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bdlimto link to this page.


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