Man pages for bkmr
Bayesian Kernel Machine Regression

CalcGroupPIPsCalculate group-specific posterior inclusion probabilities
CalcPIPsCalculate variable-specific posterior inclusion probabilities
CalcWithinGroupPIPsCalculate conditional predictor specific posterior inclusion...
ComputePostmeanHnewCompute the posterior mean and variance of 'h' at a new...
ComputePostmeanHnew.approxCompute the posterior mean and variance of 'h' at a new...
ComputePostmeanHnew.exactCompute the posterior mean and variance of 'h' at a new...
ExtractEstsExtract summary statistics
ExtractPIPsExtract posterior inclusion probabilities (PIPs) from BKMR...
ExtractSampsExtract samples
InvestigatePriorInvestigate prior
kmbayesFit Bayesian kernel machine regression
OverallRiskSummariesCalculate overall risk summaries
PlotPriorFitsPlot of exposure-response function from univariate KMR fot
PredictorResponseBivarPredict the exposure-response function at a new grid of...
PredictorResponseBivarLevelsPlot cross-sections of the bivariate predictor-response...
PredictorResponseUnivarPlot univariate predictor-response function on a new grid of...
print.bkmrfitPrint basic summary of BKMR model fit
SamplePredObtain posterior samples of predictions at new points
set_verbose_optsOptions for printing summary of model fit to the console
SimDataSimulate dataset
SingVarIntSummariesSingle Variable Interaction Summaries
SingVarRiskSummariesSingle Variable Risk Summaries
summary.bkmrfitSummarizing BKMR model fits
SummarySampsCompute summary statistics
TracePlotTrace plot
bkmr documentation built on May 2, 2019, 6:13 a.m.