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simBKMRdata: Helper Functions for Bayesian Kernel Machine Regression (original) (raw)

Provides a suite of helper functions to support Bayesian Kernel Machine Regression (BKMR) analyses in environmental health research. It enables the simulation of realistic multivariate exposure data using Multivariate Skewed Gamma distributions, estimation of distributional parameters by subgroup, and application of adaptive, data-driven thresholds for feature selection via Posterior Inclusion Probabilities (PIPs). It is especially suited for handling skewed exposure data and enhancing the interpretability of BKMR results through principled variable selection. The methodology is shown in Hasan et. al. (2025) <doi:10.1101/2025.04.14.25325822>.

Version: 0.2.1
Depends: R (≥ 3.5)
Imports: MASS, stats
Suggests: bkmr, fields, gt, quarto, testthat (≥ 3.0.0), tidyverse
Published: 2025-05-14
DOI: 10.32614/CRAN.package.simBKMRdata
Author: Kazi Tanvir Hasan ORCID iD [aut, cre], Ibrahimou BoubakariORCID iD [aut], Guerini Cristian ORCID iD [aut], Bursac Zoran ORCID iD [aut], Roberto Lucchini ORCID iD [aut], Gabriel Odom ORCID iD [aut]
Maintainer: Kazi Tanvir Hasan
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: simBKMRdata results

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