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. |

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. |

getWM | Retrieve all cues from a vector of text strings. |

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. |

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). |

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. |