Package index • protoClassification

Data Simulation

make_binary_data(): Make Correlated Binary Data

print(<prototypeData>): Print method for prototypeData objects

get_data_params(): Extract parameters from prototypeData object

Prototype Model

calculateDistSim(): Calculate distances and similarity.

compute(): Calculate Distances and Similarities to Multiple Prototypes

print(<prototypeComputation>): Print method for prototypeComputation objects

consolidate(): Consolidate Prototype Computation Results

conditionalProbsSample(): Sample Conditional Probabilities from Prototype Model

conditionalProbs(): Calculate Conditional Probabilities from Prototype Model

summary(<prototypeComputation>): Summary Method for Prototype Computation Objects

print(<summary.prototypeComputation>): Print Summary Statistics for Prototype Computation Objects

compositionalEffect(): Compare Compositional Effects by Modifying Model Parameters

print(<compositionalEffect>): Print method for compositionalEffect objects

Misc.

ruleStarCondProb(): Extract theoretical conditional probabilities for the rule-based case with exclusive attention on one feature.

temperature(): Temperature Scaling for Probability Distributions

transform_rho(): Transform correlation matrix by setting specific correlations

rlkjcorr(): Generate random correlation matrices from the LKJ distribution

dlkjcorr(): Compute the log-density of the LKJ distribution for correlation matrices