https://khasa006.r-universe.devRecent package updates in khasa006R-universehttps://github.com/khasa006.pnghttps://khasa006.r-universe.devSun, 18 May 2025 04:29:24 GMTkhasa006@fiu.edu (Kazi Tanvir Hasan)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>.https://github.com/r-universe/khasa006/actions/runs/28012200827Sun, 18 May 2025 04:29:24 GMTsimBKMRdata0.2.1successhttps://khasa006.r-universe.devhttps://github.com/khasa006/simbkmrdatabkmr_threshold.qmdbkmr_threshold.htmlCalculate PIP Threshold from Response Vector2025-03-30 21:56:252025-04-04 15:23:07packageOverview.qmdpackageOverview.htmlHelper Functions for Bayesian Kernel Machine Regression2025-04-09 04:54:062025-05-18 04:29:24estimation_and_simulation.qmdestimation_and_simulation.htmlSimulation and Estimation for each group2025-03-27 02:11:202025-04-14 20:15:55