Multiplicative Competitive Interaction (MCI) Model
Geometric mean
Local optimization of attraction values in the Huff Model
Distance decay function in the Huff model
Fitting the Huff model using local optimization of attractivity
Fitting the distance parameter lambda in the Huff model
Huff model market share/market area simulations
Interaction matrix with market shares
Converting interaction matrix with market shares to crosstable
Market shares in interaction matrix
Beta regression coefficients
Multiplicative Competitive Interaction (MCI) Model
Fitting the MCI model
Market share elasticities
MCI market share/market area simulations
Log-centering transformation of an MCI interaction matrix
Log-centering transformation of one variable in an MCI interaction mat...
Goodness of fit statistics for the Huff model
Segmentation of market areas by a criterion
Total market shares/market areas
Creating dummy variables
Correcting MCI input variables
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).