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RMM (version 0.1.0)

Revenue Management Modeling

Description

The RMM fits Revenue Management Models using the RDE(Robust Demand Estimation) method introduced in the paper by , one of the customer choice-based Revenue Management Model. Furthermore, it is possible to select a multinomial model as well as a conditional logit model as a model of RDE.

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Version

Install

install.packages('RMM')

Monthly Downloads

187

Version

0.1.0

License

GPL (>= 2.0)

Maintainer

Chul Kim

Last Published

May 9th, 2022

Functions in RMM (0.1.0)

U

Calculating a value of score function with respect to parameter gamma.
predict.rmm

Predict method for Revenue Management Model Fits
rmm

Fitting Revenue Management Models
Hotel_Wide

Data from a Major Hotel Chain
ESTF_gamma

Estimating model parameter gamma(no-purchase utility).
Hotel_Long

Data from a Major Hotel Chain
Sandwich

Calculating standard error of estimate.
rmm_reshape

Reshape Long-Format Data
ESTF_bp

Estimating model parameters.
ESTF

Estimating model parameters.
iloglike

The log-likelihood value for each individual and each alternative.
loglike

Calculating the log-likelihood function.
Arrival

Estimating total arrivals and the number of no purchase.
Choice_Set

Collects a choice set exposed to individuals.
iU

Calculating a value of score function with respect to parameter gamma for each individual and each alternative.