Multiple Cue Probability Learning in R

AICc | Corrected Akaike Information Criterion |

ALCOVE | Attention Learning COVEring map model (ALCOVE) |

ALCOVElearning | Attention Learning COVEring map model (ALCOVE) |

canRepar-methods | Reparametrization methods |

ConstraintsList-class | Parameter constraints |

fit-methods | Fit a model (estimate model parameters). |

GaussianMixtureResponse | Generate a Gaussian Mixture Response model |

GaussianMixtureResponse-class | Class "GaussianMixtureResponse" |

GaussianResponse-class | Class "GaussianResponse" |

gcm | Generalized Context Model |

ggcm | generalized Generalized Context Model |

GlmResponse | Generate a Generalized Linear Model (GLM) Response model |

GlmResponse-class | Class "GlmResponse" |

MaxResponse | Maximising responses with error |

MaxResponse-class | Class "MaxResponse" |

McplBaseModel | Class "McplBaseModel" |

McplModel | McplModel |

McplModel-class | Class "McplModel" |

mcplR | mcplR: Multiple Cue Probability Learning models in R |

mcplr-internal | mcplR internal functions, methods and classes. |

ParStruct | Parameter structure objects |

ParStruct-class | Class "ParStruct" |

RatioRuleResponse-class | Class "RatioRuleResponse" |

rescorlaWagner | Rescorla-Wagner Model |

Rsq | R-Squared |

runm-methods | Run a model over the data. |

simulate | simulate |

slfn | Single Layer Feedforward Network |

SMPT | Stock Market Prediction Task |

WPT | Weather Prediction Task data |

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