BivariateLinearLogisticRegression Method

Computes the best-fit linear logistic regression from the data.

Definition

Namespace: Meta.Numerics.Statistics
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.2.0+6d77d64445f7d5d91b12e331399c4362ecb25333

C#

public static LinearLogisticRegressionResult LinearLogisticRegression(
	this IReadOnlyList<bool> y,
	IReadOnlyList<double> x
)

VB

<ExtensionAttribute>
Public Shared Function LinearLogisticRegression ( 
	y As IReadOnlyList(Of Boolean),
	x As IReadOnlyList(Of Double)
) As LinearLogisticRegressionResult

C++

public:
[ExtensionAttribute]
static LinearLogisticRegressionResult^ LinearLogisticRegression(
	IReadOnlyList<bool>^ y, 
	IReadOnlyList<double>^ x
)

F#

[<ExtensionAttribute>]
static member LinearLogisticRegression : 
        y : IReadOnlyList<bool> * 
        x : IReadOnlyList<float> -> LinearLogisticRegressionResult

Parameters

y IReadOnlyListBoolean: The values of the dependent variable.
x IReadOnlyListDouble: The values of the independent variable.

Return Value

LinearLogisticRegressionResult
The fit result.

Usage Note

In Visual Basic and C#, you can call this method as an instance method on any object of type IReadOnlyListBoolean. When you use instance method syntax to call this method, omit the first parameter. For more information, see Extension Methods (Visual Basic) or Extension Methods (C# Programming Guide).

Remarks

Linear logistic regression is a way to fit binary outcome data to a linear model.

The method assumes that binary outcomes are encoded as 0 and 1. If any y-values other than 0 and 1 are encountered, it throws an InvalidOperationException.

The fit result is two-dimensional. The first parameter is a, the second b.

Exceptions

ArgumentNullException	x or y is .
DimensionMismatchException	The sizes of x and y do not match.
InsufficientDataException	There are fewer than three data points.