accuracyFromConfusionMatrix3x3
                        Accuracy based on a predictPair confusion
                        matrix.
city_population         Population size of the 83 largest German
                        cities.
city_population_original
                        Original, uncorrected Population size of the 83
                        largest German cities.
collapseConfusionMatrix3x3To2x2
                        Collapses a 3x3 confusion matrix to a 2x2
                        confusion matrix.
conditionalCueValidityComplete
                        Calculate conditional cue validity, which
                        includes reversing and ranks.
confusionMatrixFor_Neg1_0_1
                        Confusion matrix for categories -1, 0, 1 (the
                        output of predictPair).
correctGreater          Creates function indicating whether row1[col] >
                        row2[col].
cueAccuracy             Calculate the accuracy of using a cue to
                        predict a criterion.
cueValidity             Calculate the cue validity.
cueValidityAppliedToColumns
                        Calculate the cue validity for the cols_to_fit
                        columns.
cueValidityComplete     Calculate cue validity with reverse, cue
                        directions, and cue ranks.
distributeGuessAsExpectedValue
                        Distributes guesses of 3x3 confusion matrix to
                        expected value of 1 and -1.
heuristics              Wrap fitted heuristics to pass to rowPairApply
                        to call predictPair.
heuristicsList          Wrapper for fitted heuristics to generate
                        predictions with rowPairApply.
heuristicsProb          Wrap fitted heuristics to pass to rowPairApply
                        to call predictProb.
highschool_dropout      Chicago high school dropout rates.
logRegModel             Logistic Regression model using cue differences
                        as predictors
minModel                Minimalist Model
oneRow                  Convenience function to get one row from a
                        matrix or data frame.
pairMatrix              Apply a function to all unique pairs of row
                        indices up to num_row.
percentCorrect          Percent correct of heuristics' predictPair on
                        test_data.
percentCorrectList      Percent correct of a list of heuristics'
                        predictPair on test_data.
percentCorrectListNonSymmetric
                        percentCorrectList for non-symmetric heuristics
percentCorrectListReturnMatrix
                        Percent correct of heuristics' predictPair on
                        test_data, returning a matrix.
predictPair             Predict which of a pair of rows has a higher
                        criterion.
predictPairProb         Predict the probability that row1 has a higher
                        criterion than row2.
predictPairSummary      Returns the row indices, correct answer, and
                        predictions for all row pairs.
probGreater             Creates function for one column with correct
                        probability row1 is greater.
regInterceptModel       Linear regression wrapper for hueristica
regModel                Linear regression (no intercept) wrapper for
                        hueristica
reverseRowsAndReverseColumns
                        Reverse rows and columns of data
rowIndexes              Wrapper to output two columns, row 1 and row 2.
rowPairApply            Apply functions to all row pairs.
rowPairApplyList        Apply list of functions to all row pairs.
singleCueModel          Single Cue Model
statsFromConfusionMatrix
                        Accuracy, sensitivity, specificity, and
                        precision of 2x2 confusion matrix.
ttbGreedyModel          Greedy Take The Best
ttbModel                Take The Best
unitWeightModel         Unit-weight linear model
validityWeightModel     Validity Weight Model, a linear model weighted
                        by cue validities
