sets the significance level at which independence judgments should be made . affects the cutoff for partial correlations to be considered statistically equal to zero . concode_field_sep double determinationP concode_elem_sep List<Node> variables concode_elem_sep NumberFormat nf concode_elem_sep double alpha concode_elem_sep double gSquare concode_elem_sep GSquareTest gSquareTest concode_elem_sep double pValue concode_elem_sep DataSet dataSet concode_field_sep boolean isIndependent concode_elem_sep boolean isIndependent concode_elem_sep List<Node> getVariables concode_elem_sep double getDeterminationP concode_elem_sep List<TetradMatrix> getCovMatrices concode_elem_sep boolean determines concode_elem_sep double getPValue concode_elem_sep List<String> getVariableNames concode_elem_sep int getSampleSize concode_elem_sep boolean isDependent concode_elem_sep boolean isDependent concode_elem_sep Node getVariable concode_elem_sep List<DataSet> getDataSets concode_elem_sep double getGSquare concode_elem_sep IndependenceTest indTestSubset concode_elem_sep double getAlpha concode_elem_sep void setDeterminationP concode_elem_sep String toString concode_elem_sep ICovarianceMatrix getCov concode_elem_sep DataSet getData
void function ( double arg0 ) { this . gSquareTest . setAlpha ( arg0 ) ; }