public interface ItemResponseModelWithGradient extends ItemResponseModel
Modifier and Type | Method and Description |
---|---|
double[] |
firstDerivative(double theta)
Deprecated.
|
double[][] |
hessian(double theta)
Deprecated.
|
acceptAllProposalValues, addPriorsToLogLikelihood, addPriorsToLogLikelihoodGradient, cumulativeProbability, derivTheta, expectedValue, getDifficulty, getDifficultyStdError, getDiscrimination, getDiscriminationStdError, getGroupId, getGuessing, getGuessingStdError, getItemFitStatistic, getItemParameterArray, getItemScoring, getMaxScoreWeight, getMinScoreWeight, getName, getNcat, getNumberOfEstimatedParameters, getNumberOfParameters, getProposalDifficulty, getScalingConstant, getScoreWeights, getSlipping, getSlippingStdError, getStepParameters, getStepStdError, getThresholdParameters, getThresholdStdError, getType, gradient, gradient, incrementMeanMean, incrementMeanSigma, isFixed, itemInformationAt, nonZeroPrior, probability, probability, scale, setDifficulty, setDifficultyPrior, setDifficultyStdError, setDiscrimination, setDiscriminationPrior, setDiscriminationStdError, setFixed, setGroupId, setGuessing, setGuessingPrior, setGuessingStdError, setItemFitStatistic, setItemScoring, setName, setProposalDifficulty, setProposalDiscrimination, setProposalGuessing, setProposalSlipping, setProposalStepParameters, setProposalThresholds, setScoreWeights, setSlipping, setSlippingPrior, setSlippingStdError, setStandardErrors, setStepParameters, setStepPriorAt, setStepStdError, setThresholdParameters, setThresholdStdError, tSharpExpectedValue, tSharpProbability, tStarExpectedValue, tStarProbability
@Deprecated double[] firstDerivative(double theta)
theta
- person ability value.@Deprecated double[][] hessian(double theta)
theta
- person ability value.