private boolean isIndependentMultinomialLogisticRegression(Node x, Node y, List<Node> z) {
double p = dependencePvalsLogit(x, y, z)[0];
boolean indep = p > alpha;
// 0 corresponds to y
this.lastP = p;
if (indep) {
TetradLogger.getInstance()
.log("independencies", SearchLogUtils.independenceFactMsg(x, y, z, p));
} else {
TetradLogger.getInstance().log("dependencies", SearchLogUtils.dependenceFactMsg(x, y, z, p));
}
return indep;
}
private boolean isIndependentRegression(Node x, Node y, List<Node> z) {
double p = dependencePvalsLinear(x, y, z)[0];
// result.getP()[1];
this.lastP = p;
boolean indep = p > alpha;
if (verbose) {
if (indep) {
TetradLogger.getInstance()
.log("independencies", SearchLogUtils.independenceFactMsg(x, y, z, p));
} else {
TetradLogger.getInstance()
.log("dependencies", SearchLogUtils.dependenceFactMsg(x, y, z, p));
}
}
return indep;
}