| Global functions | |
|---|---|
| CheckMaxDiffDesign | Man page Source code |
| FitMaxDiff | Man page Source code |
| IntegrateDesignAndData | Man page Source code |
| MaxDiffDesign | Man page Source code |
| Memberships | Man page Source code |
| Permutations | Man page Source code |
| RespondentParameters | Man page Source code |
| accuracyResults | Source code |
| classPreferenceShares | Source code |
| cleanAndCheckData | Source code |
| computeBoost | Source code |
| computeRespondentParameters | Source code |
| constrainCovariance | Source code |
| dBestWorst | Man page Source code |
| dExplodedLogit | Man page Source code |
| generateInitialCovariances | Source code |
| generateInitialMeans | Source code |
| getClassParameters | Source code |
| getClassWeights | Source code |
| getLevelIndices | Source code |
| gradientMaxDiff | Source code |
| gradientMaxDiffR | Source code |
| hierarchicalBayesMaxDiff | Source code |
| inferParameters | Source code |
| latentClassMaxDiff | Source code |
| leftOutQuestions | Source code |
| logChoiceProb | Source code |
| logDensities | Source code |
| logDensitiesMaxDiff | Source code |
| logDensityMaxDiff | Source code |
| logKernels | Source code |
| logLikelihood | Source code |
| logLikelihoodMaxDiff | Man page Source code |
| logOfSum | Source code |
| mixtureOfNormalsMaxDiff | Source code |
| multipleVersionDesign | Man page Source code |
| numberOfParameters | Source code |
| optimizeMaxDiff | Source code |
| parameterCovariances | Source code |
| parameterMeans | Source code |
| posteriorProbabilities | Source code |
| predictionAccuracies | Source code |
| print.FitMaxDiff | Man page Source code |
| randomClassMemberships | Source code |
| respondentLevelInfo | Source code |
| sumWeightedOuterProducts | Source code |
| varyingCoefficientsMaxDiff | Source code |
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