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).
|Date of publication||2016-09-01 19:32:12|
|Maintainer||Thomas Wieland <firstname.lastname@example.org>|
|License||GPL (>= 2)|
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.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
mci.fit: Fitting the MCI model
MCI-package: Multiplicative Competitive Interaction (MCI) Model
mci.shares: MCI market share/market area simulations
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