private void computeInformation()
{
// Store model information
this.result = regression.Compute(inputData, timeData);
this.deviance = regression.GetDeviance(inputData, timeData, censorData);
this.logLikelihood = regression.GetPartialLogLikelihood(inputData, timeData, censorData);
this.chiSquare = regression.ChiSquare(inputData, timeData, censorData);
// Store coefficient information
for (int i = 0; i < regression.Coefficients.Length; i++)
{
this.standardErrors[i] = regression.StandardErrors[i];
this.waldTests[i] = regression.GetWaldTest(i);
this.coefficients[i] = regression.Coefficients[i];
this.confidences[i] = regression.GetConfidenceInterval(i);
this.hazardRatios[i] = regression.GetHazardRatio(i);
}
}
