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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: 0.4.2
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 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.pdf

Downloads:

Package source: bdlim_0.4.2.tar.gz
Windows binaries: r-devel: bdlim_0.4.2.zip, r-release: bdlim_0.4.2.zip, r-oldrel: bdlim_0.4.2.zip
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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.