Package: bdlim 0.4.2

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_0.4.2.tar.gz
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bdlim.pdf |bdlim.html
bdlim/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

3.54 score 1 scripts 550 downloads 5 exports 38 dependencies

Last updated 5 months agofrom:1b56fc5930. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 10 2024
R-4.5-winOKOct 10 2024
R-4.5-linuxOKOct 10 2024
R-4.4-winOKOct 10 2024
R-4.4-macOKOct 10 2024
R-4.3-winOKOct 10 2024
R-4.3-macOKOct 10 2024

Exports:bdlim1bdlim1_logisticbdlim4makebasismodelcompare

Dependencies:BayesLogitclicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelingLaplacesDemonlatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr