R: Heuristics Including Take the Best and Unit-Weight Linear

# Heuristics Including Take the Best and Unit-Weight Linear

## Documentation for package ‘heuristica’ version 1.0.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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