| 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 |