Nothing
simBKMRdata: Helper Functions for Bayesian Kernel Machine Regression
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 described in Hasan et al. (2025) <doi:10.1080/00949655.2025.2608780> and <doi:10.1101/2025.04.14.25325822>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Kazi Tanvir Hasan [aut, cre] (ORCID: <https://orcid.org/0000-0002-7723-4177>), Ibrahimou Boubakari [aut] (ORCID: <https://orcid.org/0000-0003-3173-4317>), Guerini Cristian [aut] (ORCID: <https://orcid.org/0009-0004-4480-5182>), Bursac Zoran [aut] (ORCID: <https://orcid.org/0000-0001-9306-0907>), Roberto Lucchini [aut] (ORCID: <https://orcid.org/0000-0002-9723-0237>), Gabriel Odom [aut] (ORCID: <https://orcid.org/0000-0003-1341-4555>) |
| Maintainer | Kazi Tanvir Hasan <khasa006@fiu.edu> |
| License | GPL (>= 3) |
| Version | 0.2.2 |
| URL | https://github.com/khasa006/simBKMRdata |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the simBKMRdata package in your browser
Any scripts or data that you put into this service are public.
