| AbsError | GrowthCurveLibrary.AbstractFitter | |
| AbstractFitter() | GrowthCurveLibrary.AbstractFitter | |
| calculateAbsError() | GrowthCurveLibrary.AbstractFitter | virtual |
| CalculateLag(double initOD) | GrowthCurveLibrary.ExponentialFit | |
| CalculateLogLikelihoodAssumingNormallyDistributedError(IEnumerable< double > xPoints, IEnumerable< double > yPoints) | GrowthCurveLibrary.AbstractFitter | |
| calculateR2() | GrowthCurveLibrary.AbstractFitter | protected |
| CalculateResidualsAtNewPoints(double[] xVals, double[] yvals) | GrowthCurveLibrary.AbstractFitter | |
| calculateResidualSumofSquares() | GrowthCurveLibrary.AbstractFitter | |
| calculateRMSE() | GrowthCurveLibrary.AbstractFitter | protected |
| Comment | GrowthCurveLibrary.AbstractFitter | |
| CreateHessianDelegates() | GrowthCurveLibrary.ExponentialFit | protectedvirtual |
| CreateInitialParameterGuess() | GrowthCurveLibrary.ExponentialFit | protectedvirtual |
| EPSX | GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian | protected |
| EvaluateSumofSquaresFunction(double[] Params, ref double func, object obj) | GrowthCurveLibrary.ExponentialFit | protectedvirtual |
| EvaluateSumofSquaresFunction22(double[] Params, double[] func, object obj) | GrowthCurveLibrary.ExponentialFit | protectedvirtual |
| EvaluateSumOfSquaresGradient(double[] Params, ref double func, double[] GradientVec, object obj) | GrowthCurveLibrary.ExponentialFit | protectedvirtual |
| EvaluateSumOfSquaresGradient22(double[] Params, double[] fi, double[,] Gradient, object obj) | GrowthCurveLibrary.ExponentialFit | protectedvirtual |
| ExponentialFit(double[] XDATA, double[] YDATA) | GrowthCurveLibrary.ExponentialFit | |
| FitByDefault | GrowthCurveLibrary.AbstractFitter | |
| FitModel() | GrowthCurveLibrary.ExponentialFit | protectedvirtual |
| FunctiontoFit(double x) | GrowthCurveLibrary.ExponentialFit | virtual |
| GeneralLMFitting() | GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian | protected |
| GenerateFitLine(double LowX, double interval, double HighX, out double[] xvalues, out double[] yvalues) | GrowthCurveLibrary.AbstractFitter | virtual |
| GetXValueAtYValue(double yValue) | GrowthCurveLibrary.ExponentialFit | |
| GrowthRate | GrowthCurveLibrary.ExponentialFit | |
| HessianFunctions | GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian | protected |
| InitialPopSize | GrowthCurveLibrary.ExponentialFit | |
| MakePredictionsAtPoints(IEnumerable< double > XValues) | GrowthCurveLibrary.AbstractFitter | virtual |
| makeYHAT() | GrowthCurveLibrary.AbstractFitter | protected |
| name | GrowthCurveLibrary.AbstractFitter | |
| NumberOfParameters | GrowthCurveLibrary.AbstractFitter | |
| Parameters | GrowthCurveLibrary.AbstractFitter | |
| pParameters | GrowthCurveLibrary.AbstractFitter | protected |
| PredictedValues | GrowthCurveLibrary.AbstractFitter | |
| R2 | GrowthCurveLibrary.AbstractFitter | |
| ReasonMarquadtEnded | GrowthCurveLibrary.ExponentialFit | |
| Residuals | GrowthCurveLibrary.AbstractFitter | |
| RMSE | GrowthCurveLibrary.AbstractFitter | |
| SuccessfulFit | GrowthCurveLibrary.AbstractFitter | |
| TerminationType enum name | GrowthCurveLibrary.NonLinearFitterWithGradientAndHessian | |
| ToString() | GrowthCurveLibrary.ExponentialFit | |
| VerifyInput(double[] XDATA, double[] YDATA) | GrowthCurveLibrary.AbstractFitter | protected |
| x | GrowthCurveLibrary.AbstractFitter | protected |
| X | GrowthCurveLibrary.AbstractFitter | |
| Y | GrowthCurveLibrary.AbstractFitter | |
| y | GrowthCurveLibrary.AbstractFitter | protected |
| ypred | GrowthCurveLibrary.AbstractFitter | protected |