Package: RMM 0.1.0

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.

Authors:Chul Kim [aut, cre], Sanghoon Cho [aut], Jongho Im [aut]

RMM_0.1.0.tar.gz
RMM_0.1.0.zip(r-4.7-x86_64)RMM_0.1.0.zip(r-4.7-arm64)RMM_0.1.0.zip(r-4.6-x86_64)RMM_0.1.0.zip(r-4.6-arm64)RMM_0.1.0.zip(r-4.5-x86_64)
RMM_0.1.0.tgz(r-4.6-x86_64)RMM_0.1.0.tgz(r-4.6-arm64)RMM_0.1.0.tgz(r-4.5-x86_64)RMM_0.1.0.tgz(r-4.5-arm64)
RMM_0.1.0.tar.gz(r-4.7-arm64)RMM_0.1.0.tar.gz(r-4.7-x86_64)RMM_0.1.0.tar.gz(r-4.6-arm64)RMM_0.1.0.tar.gz(r-4.6-x86_64)
RMM_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RMM/json (API)

# Install 'RMM' in R:
install.packages('RMM', repos = c('https://statkim7578.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 223 downloads 3 exports 17 dependencies

Last updated from:b17b4f157f. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK101
linux-devel-x86_64OK116
source / vignettesOK138
linux-release-arm64OK119
linux-release-x86_64OK132
macos-release-arm64OK88
macos-release-x86_64OK334
macos-oldrel-arm64OK104
macos-oldrel-x86_64OK406
windows-devel-arm64OK333
windows-devel-x86_64OK131
windows-release-arm64OK327
windows-release-x86_64OK81
windows-oldrel-x86_64OK98
wasm-releaseOK79

Exports:Choice_Setrmmrmm_reshape

Dependencies:clidplyrgenericsgluelifecyclemagrittrnumDerivpillarpkgconfigR6Rcpprlangtibbletidyselectutf8vctrswithr