Multiplicative Competitive Interaction (MCI) Model

DIY1 | Distance matrix for DIY stores |

DIY2 | DIY store information |

DIY3 | Data for origins (DIY store customers' places of residence) |

Freiburg1 | Distance matrix for grocery stores in Freiburg |

Freiburg2 | Statistical districts of Freiburg |

Freiburg3 | Grocery stores in Freiburg |

geom | Geometric mean |

grocery1 | Grocery store choices in Goettingen |

grocery2 | Grocery store market areas in Goettingen |

huff.attrac | Local optimization of attraction values in the Huff Model |

huff.decay | Distance decay function in the Huff model |

huff.fit | Fitting the Huff model using local optimization of... |

huff.lambda | Fitting the distance parameter lambda in the Huff model |

huff.shares | Huff model market share/market area simulations |

ijmatrix.create | Interaction matrix with market shares |

ijmatrix.crosstab | Converting interaction matrix with market shares to... |

ijmatrix.shares | Market shares in interaction matrix |

lm.beta | Beta regression coefficients |

mci.fit | Fitting the MCI model |

MCI-package | Multiplicative Competitive Interaction (MCI) Model |

mci.shares | MCI market share/market area simulations |

mci.shares.elast | Market share elasticities |

mci.transmat | Log-centering transformation of an MCI interaction matrix |

mci.transvar | Log-centering transformation of one variable in an MCI... |

model.fit | Goodness of fit statistics for the Huff model |

shares.segm | Segmentation of market areas by a criterion |

shares.total | Total market shares/market areas |

shopping1 | Point-of-sale survey in Karlsruhe |

shopping2 | Distance matrix for the point-of-sale survey in Karlsruhe |

shopping3 | Market area data for the point-of-sale survey in Karlsruhe |

shopping4 | Grocery store data for the point-of-sale survey in Karlsruhe |

var.asdummy | Creating dummy variables |

var.correct | Correcting MCI input variables |

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