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 [aut, cre], Ibrahimou Boubakari [aut], Guerini Cristian [aut], Bursac Zoran [aut], Roberto Lucchini [aut], Gabriel Odom [aut] Maintainer: Kazi Tanvir Hasan <khasa006 at fiu.edu> License: GPL (≥ 3) NeedsCompilation: no Materials: README NEWS CRAN checks: simBKMRdata results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=simBKMRdata to link to this page.
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