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 shown in Hasan et. al. (2025) <doi:10.1101/2025.04.14.25325822>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.1 |
rolling linux/jammy R-4.5 | simBKMRdata_0.2.1.tar.gz |
614.4 KiB |
0.2.1 |
rolling linux/noble R-4.5 | simBKMRdata_0.2.1.tar.gz |
614.2 KiB |
0.2.1 |
rolling source/ R- | simBKMRdata_0.2.1.tar.gz |
593.6 KiB |
0.2.1 |
latest linux/jammy R-4.5 | simBKMRdata_0.2.1.tar.gz |
614.4 KiB |
0.2.1 |
latest linux/noble R-4.5 | simBKMRdata_0.2.1.tar.gz |
614.2 KiB |
0.2.1 |
latest source/ R- | simBKMRdata_0.2.1.tar.gz |
593.6 KiB |
0.2.1 |
2026-04-26 source/ R- | simBKMRdata_0.2.1.tar.gz |
593.6 KiB |
0.2.1 |
2026-04-23 source/ R- | simBKMRdata_0.2.1.tar.gz |
593.6 KiB |
0.2.1 |
2026-04-09 windows/windows R-4.5 | simBKMRdata_0.2.1.zip |
616.3 KiB |