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MCI (version 1.2.0)

Multiplicative Competitive Interaction (MCI) Model

Description

The Multiplicative Competitive Interaction (MCI) Model by Nakanishi & Cooper (1974) is an econometric model for analyzing market shares and/or market areas and is closely related to the Huff model. The functions in this package include fitting the MCI model, MCI shares simulations, the log-centering transformation of MCI datasets, creation of interaction matrices and tools for data preparation. Additionally, the package provides applications for the Huff model, including a non-linear fitting algorithm.

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Version

Install

install.packages('MCI')

Monthly Downloads

124

Version

1.2.0

License

GPL (>= 2)

Maintainer

Thomas Wieland

Last Published

July 29th, 2016

Functions in MCI (1.2.0)

Freiburg1

Distance matrix for grocery stores in Freiburg
Freiburg2

Statistical districts of Freiburg
Freiburg3

Grocery stores in Freiburg
ce

Market areas of consumer electronic stores
huff.decay

Distance decay function in the Huff model
huff.fit

Fitting the Huff model using local optimization of attractivity
grocery1

Grocery store choices in Goettingen
huff.attrac

Local optimization of attractivity values in the Huff Model
geom

Geometric mean
grocery2

Grocery store market areas in Goettingen
mci.shares

MCI market share/market area simulations
huff.shares

Huff model market share/market area simulations
ijmatrix.crosstab

Converting interaction matrix with market shares to crosstable
model.fit

Goodness of fit statistics for the Huff model
mci.transvar

Log-centering transformation of one variable in an MCI interaction matrix
mci.transmat

Log-centering transformation of an MCI interaction matrix
ijmatrix.create

Interaction matrix with market shares
MCI-package

Multiplicative Competitive Interaction (MCI) Model
ijmatrix.shares

Market shares in interaction matrix
mci.fit

Fitting the MCI model
var.correct

Correcting MCI input variables
var.asdummy

Creating dummy variables
shares.total

Total market shares/market areas