R: Bayesian Kernel Machine Regression

# Bayesian Kernel Machine Regression

## Documentation for package ‘bkmr’ version 0.2.2

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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