The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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:

Please use the canonical form https://CRAN.R-project.org/package=RMM to link to this page.

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.
Health stats visible at Monitor.