R: Multiplicative Competitive Interaction (MCI) Model

# Multiplicative Competitive Interaction (MCI) Model

## Documentation for package ‘MCI’ version 1.3.3

- DESCRIPTION file.

## Help Pages

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