Package: bdlim 0.5.0

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>.

Authors:Ander Wilson [aut, cre]

bdlim_0.5.0.tar.gz
bdlim_0.5.0.zip(r-4.7-any)bdlim_0.5.0.zip(r-4.6-any)bdlim_0.5.0.zip(r-4.5-any)
bdlim_0.5.0.tgz(r-4.6-any)bdlim_0.5.0.tgz(r-4.5-any)
bdlim_0.5.0.tar.gz(r-4.7-any)bdlim_0.5.0.tar.gz(r-4.6-any)
bdlim_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bdlim/json (API)

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

Bug tracker:https://github.com/anderwilson/bdlim/issues

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

Datasets:

On CRAN:

Conda:

2.70 score 1 scripts 324 downloads 6 exports 19 dependencies

Last updated from:418796c6fa. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK120
source / vignettesOK139
linux-releaseOK110
macos-releaseOK161
macos-oldrelOK161
windows-develOK78
windows-releaseOK81
windows-oldrelOK77
wasm-releaseOK95

Exports:bdlim1bdlim1_logisticbdlim4getwmakebasismodelcompare

Dependencies:BayesLogitclicpp11farverggplot2gluegtableisobandlabelingLaplacesDemonlifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr