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MCI (version 1.3.3)

Multiplicative Competitive Interaction (MCI) Model

Description

Market area models are used to analyze and predict store choices and market areas concerning retail and service locations. This package implements two market area models (Huff Model, Multiplicative Competitive Interaction Model) into R, while the emphases lie on 1.) fitting these models based on empirical data via OLS regression and nonlinear techniques and 2.) data preparation and processing (esp. interaction matrices and data preparation for the MCI Model).

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Version

Install

install.packages('MCI')

Monthly Downloads

226

Version

1.3.3

License

GPL (>= 2)

Maintainer

Last Published

October 10th, 2017

Functions in MCI (1.3.3)

grocery1

Grocery store choices in Goettingen
grocery2

Grocery store market areas in Goettingen
DIY3

Data for origins (DIY store customers' places of residence)
Freiburg1

Distance matrix for grocery stores in Freiburg
DIY1

Distance matrix for DIY stores
DIY2

DIY store information
Freiburg2

Statistical districts of Freiburg
Freiburg3

Grocery stores in Freiburg
MCI-package

Multiplicative Competitive Interaction (MCI) Model
geom

Geometric mean
huff.attrac

Local optimization of attraction values in the Huff Model
huff.decay

Distance decay function in the Huff model
lm.beta

Beta regression coefficients
mci.fit

Fitting the MCI model
huff.fit

Fitting the Huff model using local optimization of attractivity
huff.lambda

Fitting the distance parameter lambda in the Huff model
shopping2

Distance matrix for the point-of-sale survey in Karlsruhe
shopping3

Market area data for the point-of-sale survey in Karlsruhe
huff.shares

Huff model market share/market area simulations
ijmatrix.create

Interaction matrix with market shares
mci.transmat

Log-centering transformation of an MCI interaction matrix
model.fit

Goodness of fit statistics for the Huff model
shares.segm

Segmentation of market areas by a criterion
var.correct

Correcting MCI input variables
ijmatrix.crosstab

Converting interaction matrix with market shares to crosstable
ijmatrix.shares

Market shares in interaction matrix
mci.shares

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

Market share elasticities
shares.total

Total market shares/market areas
shopping1

Point-of-sale survey in Karlsruhe
mci.transvar

Log-centering transformation of one variable in an MCI interaction matrix
shopping4

Grocery store data for the point-of-sale survey in Karlsruhe
var.asdummy

Creating dummy variables