Package: MCI 1.3.3
![](https://r-universe.dev/static/nobody.jpg)
Thomas Wieland
MCI: Multiplicative Competitive Interaction (MCI) Model
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).
Authors:
MCI_1.3.3.tar.gz
MCI_1.3.3.tar.gz(r-4.5-noble)MCI_1.3.3.tar.gz(r-4.4-noble)
MCI_1.3.3.tgz(r-4.4-emscripten)MCI_1.3.3.tgz(r-4.3-emscripten)
MCI.pdf |MCI.html✨
MCI/json (API)
# Install 'MCI' in R: |
install.packages('MCI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- DIY1 - Distance matrix for DIY stores
- DIY2 - DIY store information
- DIY3 - Data for origins
- Freiburg1 - Distance matrix for grocery stores in Freiburg
- Freiburg2 - Statistical districts of Freiburg
- Freiburg3 - Grocery stores in Freiburg
- grocery1 - Grocery store choices in Goettingen
- grocery2 - Grocery store market areas in Goettingen
- 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
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:2b459b2deb. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 26 2024 |
R-4.5-linux | NOTE | Aug 26 2024 |
Exports:geomhuff.attrachuff.decayhuff.fithuff.lambdahuff.sharesijmatrix.createijmatrix.crosstabijmatrix.shareslm.betamci.fitmci.sharesmci.shares.elastmci.transmatmci.transvarmodel.fitshares.segmshares.totalvar.asdummyvar.correct
Dependencies: