AbsError | GrowthCurveLibrary.AbstractFitter | |
AbstractFitter() | GrowthCurveLibrary.AbstractFitter | |
calculateAbsError() | GrowthCurveLibrary.AbstractFitter | virtual |
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 | |
CreateInitialParameterGuess() | GrowthCurveLibrary.OffSetExponentialFit | protected |
FitByDefault | GrowthCurveLibrary.AbstractFitter | |
FitModel() | GrowthCurveLibrary.OffSetExponentialFit | protectedvirtual |
FitModelAlgLib() | GrowthCurveLibrary.OffSetExponentialFit | protected |
function_cx_1_func(double[] c, double[] x, ref double func, object obj) | GrowthCurveLibrary.OffSetExponentialFit | static |
function_cx_1_grad(double[] c, double[] x, ref double func, double[] grad, object obj) | GrowthCurveLibrary.OffSetExponentialFit | static |
FunctiontoFit(double x) | GrowthCurveLibrary.OffSetExponentialFit | virtual |
GenerateFitLine(double LowX, double interval, double HighX, out double[] xvalues, out double[] yvalues) | GrowthCurveLibrary.AbstractFitter | virtual |
GetDerivatives(IList< double > value, IList< double > grad) | GrowthCurveLibrary.OffSetExponentialFit | |
GrowthRate | GrowthCurveLibrary.OffSetExponentialFit | |
InitialPopSize | GrowthCurveLibrary.OffSetExponentialFit | |
MakePredictionsAtPoints(IEnumerable< double > XValues) | GrowthCurveLibrary.AbstractFitter | virtual |
makeYHAT() | GrowthCurveLibrary.AbstractFitter | protected |
name | GrowthCurveLibrary.AbstractFitter | |
NumberOfParameters | GrowthCurveLibrary.AbstractFitter | |
OffSet | GrowthCurveLibrary.OffSetExponentialFit | |
OffSetExponentialFit(double[] XDATA, double[] YDATA, double CGuess=0.0) | GrowthCurveLibrary.OffSetExponentialFit | |
Parameters | GrowthCurveLibrary.AbstractFitter | |
pParameters | GrowthCurveLibrary.AbstractFitter | protected |
PredictedValues | GrowthCurveLibrary.AbstractFitter | |
R2 | GrowthCurveLibrary.AbstractFitter | |
Residuals | GrowthCurveLibrary.AbstractFitter | |
RMSE | GrowthCurveLibrary.AbstractFitter | |
SuccessfulFit | GrowthCurveLibrary.AbstractFitter | |
VerifyInput(double[] XDATA, double[] YDATA) | GrowthCurveLibrary.AbstractFitter | protected |
X | GrowthCurveLibrary.AbstractFitter | |
x | GrowthCurveLibrary.AbstractFitter | protected |
Y | GrowthCurveLibrary.AbstractFitter | |
y | GrowthCurveLibrary.AbstractFitter | protected |
ypred | GrowthCurveLibrary.AbstractFitter | protected |