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LinearRegression_TheilSen

Computes linear regression of given point set using TheilSen algorithm.

Syntax

void avl::LinearRegression_TheilSen
(
	const atl::Array<float>& inYValues,
	const atl::Optional<atl::Array<float> >& inXValues,
	avl::TheilSenVariant::Type inVariant,
	avl::LinearFunction& outLinearFunction,
	atl::Array<float>& outEstimatedValues,
	atl::Array<float>& outResiduals
)

void LinearRegression_TheilSen
(
	float[] inYValues,
	float[] inXValues,
	TheilSenVariant inVariant,
	out LinearFunction outLinearFunction,
	out float[] outEstimatedValues,
	out float[] outResiduals
)

Parameters

Name	Type	Default	Description
inYValues	const Array<float>&		Sequence of ordinates
inXValues	const Optional<Array<float> >&	NIL	Sequence of abscissae, or {0, 1, 2, ...} by default
inVariant	TheilSenVariant::Type		Switches between Theil-Sen and Siegel methods
outLinearFunction	LinearFunction&		Linear function approximating the given point set
outEstimatedValues	Array<float>&		The result of application of the computed function to the X values
outResiduals	Array<float>&		Difference between an input Y value and the corresponding estimated value

Errors

Error type	Description
DomainError	Inconsistent size of arrays in LinearRegression_TheilSen.
DomainError	Empty array of points in LinearRegression_TheilSen.