adjustmentProb {BiCausality} | R Documentation |
adjustmentProb function
Description
This function evaluates the P(Y=yflag|do(X=xflag)) given only marginal distributions using parent adjustment method.
Usage
adjustmentProb(EValHat, mat, yflag = 1, xflag = 1)
Arguments
EValHat |
is an adjacency matrix of weighted directed causal graph where edge weights are P(Y=yflag|X=xflag) or probabilities of effect being 1 given cause being either 1 for positive association or 0 for negative association. |
mat |
is a matrix n by d where n is a number of transactions or samples and d is a number of dimensions. |
yflag |
is value set for Y in P(Y=yflag|X=xflag,z) for the adjustment method. |
xflag |
is value set for X in P(Y=yflag|X=xflag,z) for the adjustment method. |
Value
This function returns an adjacency matrix of weighted directed causal graph where the edge weights are P(Y=yflag|do(X=xflag) ).
Examples
adjustmentProb(resC$CausalGRes$EValHat,mat)
[Package BiCausality version 0.1.4 Index]