Package: simBKMRdata
Title: Helper Functions for Bayesian Kernel Machine Regression
Version: 0.1.1
Authors@R: 
    c(
      person("Kazi Tanvir", "Hasan", , "khasa006@fiu.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-7723-4177")),
      person("Gabriel", "Odom", , "gabriel.j.odom@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-1341-4555")),
      person("Roberto", "Lucchini", , "rlucchin@fiu.edu", role = "ctb",
           comment = c(ORCID = "0000-0002-9723-0237"))
    )
Description: 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>.
Encoding: UTF-8
RoxygenNote: 7.3.2
License: GPL (>= 3)
Imports: MASS, stats
Suggests: bkmr, fields, gt, quarto, testthat (>= 3.0.0), tidyverse
VignetteBuilder: quarto
Depends: R (>= 3.5)
LazyData: true
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-04-17 18:50:33 UTC; tanvir
Author: Kazi Tanvir Hasan [aut, cre] (<https://orcid.org/0000-0002-7723-4177>),
  Gabriel Odom [aut] (<https://orcid.org/0000-0003-1341-4555>),
  Roberto Lucchini [ctb] (<https://orcid.org/0000-0002-9723-0237>)
Maintainer: Kazi Tanvir Hasan <khasa006@fiu.edu>
Repository: CRAN
Date/Publication: 2025-04-22 13:40:04 UTC
