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 |