Mixture model for the error, assumes the mean of the error is zero for both components More...

Public Member Functions
	MixtureErrorModelClass (GrowthCurve gc, bool CallOutliersAfter=true)

List< double >	XValuesOfOutliers ()

virtual void	GenerateFitLine (double LowX, double interval, double HighX, out double[] xvalues, out double[] yvalues)

double	FunctiontoFit (double x)

Public Attributes
double[]	sds =new double[] {Math.Sqrt(5.4775e-7),Math.Sqrt(4.267e-6)}

double[]	Passignments =new double[] {.8416,.1854}

double[]	startParams

QuasiNewtonSolution	results

Detailed Description

Mixture model for the error, assumes the mean of the error is zero for both components

Constructor & Destructor Documentation

GrowthCurveLibrary.MixtureErrorModelClass.MixtureErrorModelClass	(	GrowthCurve	gc,
		bool	CallOutliersAfter = `true`
	)

double GrowthCurveLibrary.MixtureErrorModelClass.FunctiontoFit ( double x )

virtual void GrowthCurveLibrary.MixtureErrorModelClass.GenerateFitLine	(	double	LowX,
		double	interval,
		double	HighX,
		out double[]	xvalues,
		out double[]	yvalues
	)

virtual

List<double> GrowthCurveLibrary.MixtureErrorModelClass.XValuesOfOutliers ( )

double [] GrowthCurveLibrary.MixtureErrorModelClass.Passignments =new double[] {.8416,.1854}

QuasiNewtonSolution GrowthCurveLibrary.MixtureErrorModelClass.results

double [] GrowthCurveLibrary.MixtureErrorModelClass.sds =new double[] {Math.Sqrt(5.4775e-7),Math.Sqrt(4.267e-6)}

double [] GrowthCurveLibrary.MixtureErrorModelClass.startParams

double [] GrowthCurveLibrary.MixtureErrorModelClass.FittedXValues

get

double GrowthCurveLibrary.MixtureErrorModelClass.GrowthRate

get

double GrowthCurveLibrary.MixtureErrorModelClass.InitialPopSize

get

double [] GrowthCurveLibrary.MixtureErrorModelClass.Residuals

get

The documentation for this class was generated from the following file:

D:/Dropbox/Software/CurveFitter/GrowthCurveLibrary/ModelsAndFitting/MixtureModelClass.cs