Bayesian Kernel Machine Regression

Documentation for package ‘bkmr’ version 0.2.2

ComputePostmeanHnew	Compute the posterior mean and variance of 'h' at a new predictor values
ExtractEsts	Extract summary statistics
ExtractPIPs	Extract posterior inclusion probabilities (PIPs) from BKMR model fit
ExtractSamps	Extract samples
InvestigatePrior	Investigate prior
kmbayes	Fit Bayesian kernel machine regression
OverallRiskSummaries	Calculate overall risk summaries
PlotPriorFits	Plot of exposure-response function from univariate KMR fit
PredictorResponseBivar	Predict the exposure-response function at a new grid of points
PredictorResponseBivarLevels	Plot cross-sections of the bivariate predictor-response function
PredictorResponseBivarPair	Plot bivariate predictor-response function on a new grid of points
PredictorResponseUnivar	Plot univariate predictor-response function on a new grid of points
print.bkmrfit	Print basic summary of BKMR model fit
SamplePred	Obtain posterior samples of predictions at new points
SimData	Simulate dataset
SingVarIntSummaries	Single Variable Interaction Summaries
SingVarRiskSummaries	Single Variable Risk Summaries
summary.bkmrfit	Summarizing BKMR model fits
TracePlot	Trace plot