Package gov.nih.mipav.model.algorithms
Class WeibullDistribution.WeibullCostFunction2param
java.lang.Object
gov.nih.mipav.model.algorithms.NLConstrainedEngine
gov.nih.mipav.model.algorithms.WeibullDistribution.WeibullCostFunction2param
- Enclosing class:
WeibullDistribution
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Field Summary
Fields inherited from class gov.nih.mipav.model.algorithms.NLConstrainedEngine
a, absoluteConvergence, analyticalJacobian, bl, bounds, bu, ctrlMat, dyda, gues, internalScaling, iters, jacobian, maxIterations, nPts, outputMes, param, parameterConvergence, relativeConvergence, residuals, secondAllowed, stdv, tolerance -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionvoiddriver()Starts the analysis.voidDisplay results of WeibullDistributionFitting.voidfitToFunction(double[] a, double[] residuals, double[][] covarMat) Fit to function.Methods inherited from class gov.nih.mipav.model.algorithms.NLConstrainedEngine
dumpTestResults, fitToTestFunction, getChiSquared, getExitStatus, getIterations, getParameters, getResiduals, statusMessage
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Constructor Details
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WeibullCostFunction2param
public WeibullCostFunction2param(double[] x0, boolean analyticalJac)
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Method Details
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fitToFunction
public void fitToFunction(double[] a, double[] residuals, double[][] covarMat) Fit to function.- Specified by:
fitToFunctionin classNLConstrainedEngine- Parameters:
a- The x value of the data point.residuals- The best guess parameter values.covarMat- The derivative values of y with respect to fitting parameters.
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driver
public void driver()Starts the analysis.- Overrides:
driverin classNLConstrainedEngine
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dumpResults
public void dumpResults()Display results of WeibullDistributionFitting.
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