computeOptimalPrice: Computes the profit-maximizing price
In WordOfMouth: Estimates Economic Variables for Word-of-Mouth-Campaigns
computeOptimalPrice R Documentation
Computes the profit-maximizing price
Description
Computes the profit-maximizing for a given Word-of-Mouth campaign.
Usage
computeOptimalPrice(campaign)
Arguments
campaign
Word-of-Mouth campaign as instance of class WoMCampaign.
Value
Profit-maximizing price in [0; 1] where 0 is the lowest possible and 1 is the highest possible price.
Author(s)
Michael Scholz michael.scholz@th-deg.de
Thomas Woehner Thomas.Woehner@eah-jena.de
Ralf Peters ralf.peters@wiwi.uni-halle.de
See Also
computeDemand computeProfit computeConsumerSurplus
Examples
network <- new("WoMNetwork", size = 1000, avgConnections = 5)
campaign <- new("WoMCampaign", network = network, seedingSize = 10, forwardProbability = 0.2)
price <- computeOptimalPrice(campaign)
profit <- computeProfit(campaign, price)
print(price)
print(profit)
WordOfMouth documentation built on June 8, 2025, 1:47 p.m.
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| computeOptimalPrice | R Documentation |
Computes the profit-maximizing price
Description
Computes the profit-maximizing for a given Word-of-Mouth campaign.
Usage
computeOptimalPrice(campaign)
Arguments
campaign |
Word-of-Mouth campaign as instance of class |
Value
Profit-maximizing price in [0; 1] where 0 is the lowest possible and 1 is the highest possible price.
Author(s)
Michael Scholz michael.scholz@th-deg.de
Thomas Woehner Thomas.Woehner@eah-jena.de
Ralf Peters ralf.peters@wiwi.uni-halle.de
See Also
computeDemand computeProfit computeConsumerSurplus
Examples
network <- new("WoMNetwork", size = 1000, avgConnections = 5)
campaign <- new("WoMCampaign", network = network, seedingSize = 10, forwardProbability = 0.2)
price <- computeOptimalPrice(campaign)
profit <- computeProfit(campaign, price)
print(price)
print(profit)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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