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 |