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simBKMRdata  

Helper Functions for Bayesian Kernel Machine Regression
View on CRAN: Click here


Download and install simBKMRdata package within the R console
Install from CRAN:
install.packages("simBKMRdata")

Install from Github:
library("remotes")
install_github("cran/simBKMRdata")

Install by package version:
library("remotes")
install_version("simBKMRdata", "0.2.1")



Attach the package and use:
library("simBKMRdata")
Maintained by
Kazi Tanvir Hasan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-22
Latest Update: 2025-05-14
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>.
How to cite:
Kazi Tanvir Hasan (2025). simBKMRdata: Helper Functions for Bayesian Kernel Machine Regression. R package version 0.2.1, https://cran.r-project.org/web/packages/simBKMRdata. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:04), 0.1.1 (2025-04-22 15:40)
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Complete documentation for simBKMRdata
Functions, R codes and Examples using the simBKMRdata R package
Full simBKMRdata package functions and examples
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