CurveFitterLibraries
Classes and methods for fitting growth curves
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GrowthCurveLibrary.ExponentialFit Member List

This is the complete list of members for GrowthCurveLibrary.ExponentialFit, including all inherited members.

AbsErrorGrowthCurveLibrary.AbstractFitter
AbstractFitter()GrowthCurveLibrary.AbstractFitter
calculateAbsError()GrowthCurveLibrary.AbstractFittervirtual
CalculateLag(double initOD)GrowthCurveLibrary.ExponentialFit
CalculateLogLikelihoodAssumingNormallyDistributedError(IEnumerable< double > xPoints, IEnumerable< double > yPoints)GrowthCurveLibrary.AbstractFitter
calculateR2()GrowthCurveLibrary.AbstractFitterprotected
CalculateResidualsAtNewPoints(double[] xVals, double[] yvals)GrowthCurveLibrary.AbstractFitter
calculateResidualSumofSquares()GrowthCurveLibrary.AbstractFitter
calculateRMSE()GrowthCurveLibrary.AbstractFitterprotected
CommentGrowthCurveLibrary.AbstractFitter
CreateHessianDelegates()GrowthCurveLibrary.ExponentialFitprotectedvirtual
CreateInitialParameterGuess()GrowthCurveLibrary.ExponentialFitprotectedvirtual
EPSXGrowthCurveLibrary.NonLinearFitterWithGradientAndHessianprotected
EvaluateSumofSquaresFunction(double[] Params, ref double func, object obj)GrowthCurveLibrary.ExponentialFitprotectedvirtual
EvaluateSumofSquaresFunction22(double[] Params, double[] func, object obj)GrowthCurveLibrary.ExponentialFitprotectedvirtual
EvaluateSumOfSquaresGradient(double[] Params, ref double func, double[] GradientVec, object obj)GrowthCurveLibrary.ExponentialFitprotectedvirtual
EvaluateSumOfSquaresGradient22(double[] Params, double[] fi, double[,] Gradient, object obj)GrowthCurveLibrary.ExponentialFitprotectedvirtual
ExponentialFit(double[] XDATA, double[] YDATA)GrowthCurveLibrary.ExponentialFit
FitByDefaultGrowthCurveLibrary.AbstractFitter
FitModel()GrowthCurveLibrary.ExponentialFitprotectedvirtual
FunctiontoFit(double x)GrowthCurveLibrary.ExponentialFitvirtual
GeneralLMFitting()GrowthCurveLibrary.NonLinearFitterWithGradientAndHessianprotected
GenerateFitLine(double LowX, double interval, double HighX, out double[] xvalues, out double[] yvalues)GrowthCurveLibrary.AbstractFittervirtual
GetXValueAtYValue(double yValue)GrowthCurveLibrary.ExponentialFit
GrowthRateGrowthCurveLibrary.ExponentialFit
HessianFunctionsGrowthCurveLibrary.NonLinearFitterWithGradientAndHessianprotected
InitialPopSizeGrowthCurveLibrary.ExponentialFit
MakePredictionsAtPoints(IEnumerable< double > XValues)GrowthCurveLibrary.AbstractFittervirtual
makeYHAT()GrowthCurveLibrary.AbstractFitterprotected
nameGrowthCurveLibrary.AbstractFitter
NumberOfParametersGrowthCurveLibrary.AbstractFitter
ParametersGrowthCurveLibrary.AbstractFitter
pParametersGrowthCurveLibrary.AbstractFitterprotected
PredictedValuesGrowthCurveLibrary.AbstractFitter
R2GrowthCurveLibrary.AbstractFitter
ReasonMarquadtEndedGrowthCurveLibrary.ExponentialFit
ResidualsGrowthCurveLibrary.AbstractFitter
RMSEGrowthCurveLibrary.AbstractFitter
SuccessfulFitGrowthCurveLibrary.AbstractFitter
TerminationType enum nameGrowthCurveLibrary.NonLinearFitterWithGradientAndHessian
ToString()GrowthCurveLibrary.ExponentialFit
VerifyInput(double[] XDATA, double[] YDATA)GrowthCurveLibrary.AbstractFitterprotected
xGrowthCurveLibrary.AbstractFitterprotected
XGrowthCurveLibrary.AbstractFitter
YGrowthCurveLibrary.AbstractFitter
yGrowthCurveLibrary.AbstractFitterprotected
ypredGrowthCurveLibrary.AbstractFitterprotected