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locationgamer  

Identification of Location Game Equilibria in Networks
View on CRAN: Click here


Download and install locationgamer package within the R console
Install from CRAN:
install.packages("locationgamer")

Install from Github:
library("remotes")
install_github("cran/locationgamer")

Install by package version:
library("remotes")
install_version("locationgamer", "0.1.0")



Attach the package and use:
library("locationgamer")
Maintained by
Maximilian Zellner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-18
Latest Update: 2020-12-18
Description:
Identification of equilibrium locations in location games (Hotelling (1929) ). In these games, two competing actors place customer-serving units in two locations simultaneously. Customers make the decision to visit the location that is closest to them. The functions in this package include Prim algorithm (Prim (1957) ) to find the minimum spanning tree connecting all network vertices, an implementation of Dijkstra algorithm (Dijkstra (1959) ) to find the shortest distance and path between any two vertices, a self-developed algorithm using elimination of purely dominated strategies to find the equilibrium, and several plotting functions.
How to cite:
Maximilian Zellner (2020). locationgamer: Identification of Location Game Equilibria in Networks. R package version 0.1.0, https://cran.r-project.org/web/packages/locationgamer. Accessed 06 Oct. 2026.
Previous versions and publish date:
No previous versions
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View locationgamer citation profile
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Complete documentation for locationgamer
Functions, R codes and Examples using the locationgamer R package
Some associated functions: createDistance . dijkstra . euclidDistance . lgsolve . plotDijkstra . plotNetwork . plotPrim . primDistance . randomCoordinates . 
Some associated R codes: createDistance.R . dijkstra.R . euclidDistance.R . lgsolve.R . plotDijkstra.R . plotNetwork.R . plotPrim.R . primDistance.R . randomCoordinates.R .  Full locationgamer package functions and examples
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