Bayesian Kernel Machine Regression
Implementation of a statistical approach for estimating the joint health effects of multiple concurrent exposures.
Calculate group-specific posterior inclusion probabilities
Calculate variable-specific posterior inclusion probabilities
Calculate conditional predictor specific posterior inclusion probabilities
Compute the posterior mean and variance of h at a new predictor values
Extract summary statistics
Extract posterior inclusion probabilities (PIPs) from BKMR model fit
Extract samples
Investigate prior
Calculate overall risk summaries
Plot of exposure-response function from univariate KMR fot
Predict the exposure-response function at a new grid of points
Plot cross-sections of the bivariate predictor-response function
Plot univariate predictor-response function on a new grid of points
Obtain posterior samples of predictions at new points
Simulate dataset
Single Variable Interaction Summaries
Single Variable Risk Summaries
Compute summary statistics
Trace plot
Fit Bayesian kernel machine regression
Print basic summary of BKMR model fit
Options for printing summary of model fit to the console
Summarizing BKMR model fits
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