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RMM  

Revenue Management Modeling
View on CRAN: Click here


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

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

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



Attach the package and use:
library("RMM")
Maintained by
Chul Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-09
Latest Update: 2022-05-09
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.
How to cite:
Chul Kim (2022). RMM: Revenue Management Modeling. R package version 0.1.0, https://cran.r-project.org/web/packages/RMM. Accessed 28 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited RMM R package
View RMM citation profile
Other R packages that RMM depends, imports, suggests or enhances
Complete documentation for RMM
Functions, R codes and Examples using the RMM R package
Some associated functions: Arrival . Choice_Set . ESTF . ESTF_bp . ESTF_gamma . Hotel_Long . Hotel_Wide . Sandwich . U . iU . iloglike . loglike . predict.rmm . rmm . rmm_reshape . 
Some associated R codes: Arrival.R . ESTF.R . ESTF_bp.R . ESTF_gamma.R . Hotel_Long.R . Hotel_Wide.R . RMM-package.R . RcppExports.R . Sandwich.R . U.R . iU.R . iloglike.R . loglike.R . predict.rmm.R . rmm.R . rmm_reshape_Rcpp.R .  Full RMM package functions and examples
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