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Regress.LogisticRegress Method ([In] TVec, [In] TVec, [In] TVec, [In] TMtx, double, [In] TVec, [In] TVec, double)
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Logistic regression.

Syntax
C#
Visual Basic
public static void LogisticRegress([In] TVec y, [In] TVec n, [In] TVec b, [In] TMtx A, double Offset, [In] TVec YCalc, [In] TVec BStd, double Tolerance);
Parameters
Parameters 
Description 
[In] TVec y 
response vector containing binomial counts. 
[In] TVec n 
number of trials for each count. Y is assumed to be binomial(p,N). 
[In] TVec b 
regression parameter estimates. 
[In] TMtx A 
matrix of covariates, including the constant vector if required. 
double Offset 
offset if required. 
[In] TVec YCalc 
fitted values. 
[In] TVec BStd 
Regression parameter estimates errors.This is an estimate of the precision of the B estimates. 
double Tolerance 
Default precision for reweighted LQR. 
Remarks

Fit logistic regression model.

Example

The following example calculates coefficients for simple logistic regression. The counts are out of 10 in each case and there is one covariate[1].

using Dew.Math; using Dew.Stats; using Dew.Math.Units; using Dew.Stats.Units; namespace Dew.Examples { private void Example() { Vector y = new Vector(0); Vector n = new Vector(0); Vector B = new Vector(0); y.SetIt(false, new double[] { 2, 0, 3, 1, 5, 5, 6, 9, 5, 9 }); n.Size(y); n.SetVal(10.0); Regress.LogisticRegress(y, n, B, null,0,null,null, Math387.EPS); } }
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