RWlearning              Function implementing the Rescorla-Wagner
                        learning.
RWlearningMatrix        Function implementing the Rescorla-Wagner
                        learning.
RWlearningNoCueCompetition
                        Function implementing the Rescorla-Wagner
                        learning equations without cue competition (for
                        illustration purposes).
RWlearningNoOutcomeCompetition
                        Function implementing the Rescorla-Wagner
                        learning equetions without outcome competition
                        (for illustration purposes).
activationsCueSet       Calculate the change in activation for a
                        specific cue or set of cues.
activationsEvents       Calculate the activations for each learning
                        event.
activationsMatrix       Calculate the activations for one or a set of
                        cues.
activationsOutcomes     Calculate the activations for all outcomes in
                        the data.
check                   Remove empty cues and/or outcomes.
checkWM                 Check whether cues and outcomes exist in a
                        weight matrix and optionally add.
createTrainingData      Create event training data from a frequency
                        data frame.
createWM                Create empty weight matrix based on a set of
                        cues and outcomes.
cueWindow               Create a 'cue window', for overlapping or
                        continuous cues.
dat                     Simulated learning data.
edl                     Toolbox for Error-Driven Learning Simulations
                        with Two-Layer Networks
getActivations          Function to calculate the activations.
getCues                 Extract cues from list of weightmatrices.
getLambda               Retrieve the lambda values for all or specific
                        outcomes for each learning event.
getOutcomes             Extract outcomes from list of weightmatrices.
getUpdate               Retrieve the weight updates and their change
                        for each learning event.
getValues               Retrieve all cues from a vector of text
                        strings.
getWM                   Retrieve all cues from a vector of text
                        strings.
getWeightsByCue         Extract the change of connection weights
                        between a specific cue and all outcomes.
getWeightsByOutcome     Extract the change of connection weights
                        between all cues and a specific outcome.
luceChoice              Function implementing the Luce choice rule.
plotActivations         Visualize the change of connection weights
                        between a specific outcome and all cues.
plotCueWeights          Visualize the change of connection weights
                        between a specific cue and all outcomes.
plotNetwork             Return strong weights.
plotOutcomeWeights      Visualize the change of connection weights
                        between a specific outcome and all cues.
setBackground           Set value background cue.
updateWeights           Function implementing the Rescorla-Wagner
                        learning for a single learning event.
updateWeightsNoCueCompetition
                        Function implementing the Rescorla-Wagner
                        learning equations without cue competition for
                        a single learning event.
updateWeightsNoOutcomeCompetition
                        Function implementing the Rescorla-Wagner
                        learning equations without outcome competition
                        (for illustration purposes) for a single
                        learning event.
