Multiplicative Competitive Interaction (MCI) Model

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Documentation for package ‘MCI’ version 1.3.3

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MCI-package 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 attractivity
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 crosstable
ijmatrix.shares Market shares in interaction matrix
lm.beta Beta regression coefficients
MCI Multiplicative Competitive Interaction (MCI) Model
mci.fit Fitting the 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 interaction matrix
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