private void computeInformation()
{
// Store model information
this.results = regression.Compute(inputData);
this.deviance = regression.GetDeviance(inputData, outputData);
this.logLikelihood = regression.GetLogLikelihood(inputData, outputData);
this.chiSquare = regression.ChiSquare(inputData, outputData);
this.coefficients = regression.Coefficients;
this.standardErrors = regression.StandardErrors;
// Store coefficient information
for (int i = 0; i < waldTests.Length; i++)
{
this.waldTests[i] = regression.GetWaldTest(i);
this.confidences[i] = regression.GetConfidenceInterval(i);
this.oddsRatios[i] = regression.GetOddsRatio(i);
}
}
