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RMM: Revenue Management Modeling

The RMM fits Revenue Management Models using the RDE(Robust Demand Estimation) method introduced in the paper by <doi:10.2139/ssrn.3598259>, 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.

Version: 0.1.0
Depends: R (≥ 3.1.0)
Imports: tibble, magrittr, rlang, dplyr, numDeriv, Rcpp
LinkingTo: Rcpp
Published: 2022-05-09
DOI: 10.32614/CRAN.package.RMM
Author: Chul Kim [aut, cre], Sanghoon Cho [aut], Jongho Im [aut]
Maintainer: Chul Kim <statkim7578 at yonsei.ac.kr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: yes
CRAN checks: RMM results

Documentation:

Reference manual: RMM.pdf

Downloads:

Package source: RMM_0.1.0.tar.gz
Windows binaries: r-devel: RMM_0.1.0.zip, r-release: RMM_0.1.0.zip, r-oldrel: RMM_0.1.0.zip
macOS binaries: r-release (arm64): RMM_0.1.0.tgz, r-oldrel (arm64): RMM_0.1.0.tgz, r-release (x86_64): RMM_0.1.0.tgz, r-oldrel (x86_64): RMM_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.