Function reference • causalbkmr

All functions
`BKMRfits10`	Sample Data for MI BKMR
`CDE.bkmr.MI()`	Estimate controlled direct effect for BKMR-CMA-MI
`CDE.bkmr()`	Estimate controlled direct effect for BKMR
`CDERiskSummaries.CMA()`	CDERiskSummaries.CMA
`CDESingVarRiskSummaries.CMA()`	Single Variable Risk Summaries Compute summaries of the risks associated with a change in a single variable in `Z` from a single level (quantile) to a second level (quantile), for the other variables in `Z` fixed to a specific level (quantile)
`CDEVarRiskSummary.CMA()`	Single variable plot for CDE.
`ComputePostmeanHnew.approx()`	Compute the posterior mean and variance of `h` at a new predictor values using approx method for MI BKMR fits
`ComputePostmeanHnew.exact.MI()`	Compute the posterior mean and variance of `h` at a new predictor values using exact method for MI BKMR fits
`OverallRiskSummaries.MI()`	Calculate overall risk summaries for BKMR MI
`OverallRiskSummaries.fixEY()`	Calculate overall risk summaries when fixing multiple effect modifiers at certain levels
`PredictorResponseBivar.MI()`	Predict the exposure-response function at a new grid of points for MI BKMR
`PredictorResponseBivarPair.MI()`	Plot bivariate predictor-response function on a new grid of points for MI BKMR
`PredictorResponseUnivar.MI()`	Plot univariate predictor-response function on a new grid of point for MI BKMR
`Rubin.MI()`	Rubins 1987 method
`SingVarRiskSummaries.CMA()`	Single Variable Risk Summaries for CMA Compute summaries of the risks associated with a change in a single variable in `Z` from a single level (quantile) to a second level (quantile), for the other variables in `Z` fixed to a specific level (quantile)
`SingVarRiskSummaries.MI()`	Single Variable Risk Summaries for MI BKMR fits Compute summaries of the risks associated with a change in a single variable in `Z` from a single level (quantile) to a second level (quantile), for the other variables in `Z` fixed to a specific level (quantile) for MI BKMR fits
`SingVarRiskSummaries.fixEY()`	Calculate Single Variable Risk Summaries when fixing multiple effect modifiers at certain levels Compute summaries of the risks associated with a change in a single variable in `Z` from a single level (quantile) to a second level (quantile), for a set of effect modifiers (in `Z`) fixed to a specific level (quantile)
`TE.bkmr.MI()`	Estimate total effect for BKMR
`TE.bkmr()`	Estimate total effect for BKMR
`TERiskSummaries.CMA()`	TERiskSummaries.CMA
`VarRiskSummary.CMA()`	VarRiskSummary.CMA
`YaMastar.SamplePred()`	YaMastar counterfactual
`YaYastar.SamplePred()` `YaYastar.SamplePred()`	Estimate TE for BKMR-CMA-MI
`Z.complete.MI()`	Function to compile the exposures from all MI datasets
`cma_sampledata()`	CMA Sample Data Simulation
`makeKpart()`	makeKpart
`makeVcomps()`	Title
`mediation.bkmr.MI()`	Estimate NDE/NIE for BKMR-CMA-MI
`mediation.bkmr()`	Estimate NDE/NIE for BKMR(plus TE)
`postresults()`	Posterior/Bootstrap Summary Function

Reference

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