Bayesian Kernel Machine Regression
Compute the posterior mean and variance of h at a new predictor valu...
Extract summary statistics
Extract posterior inclusion probabilities (PIPs) from BKMR model fit
Extract samples
Investigate prior
Fit Bayesian kernel machine regression
Calculate overall risk summaries
Plot of exposure-response function from univariate KMR fit
Predict the exposure-response function at a new grid of points
Plot cross-sections of the bivariate predictor-response function
Plot bivariate predictor-response function on a new grid of points
Plot univariate predictor-response function on a new grid of points
Print basic summary of BKMR model fit
Obtain posterior samples of predictions at new points
Simulate dataset
Single Variable Interaction Summaries
Single Variable Risk Summaries
Summarizing BKMR model fits
Trace plot
Implementation of a statistical approach for estimating the joint health effects of multiple concurrent exposures, as described in Bobb et al (2015) <doi:10.1093/biostatistics/kxu058>.