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 [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 |
Reference manual: | bdlim.pdf |
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 |
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