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
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RMM.pdf |RMM.html✨
RMM/json (API)

# Install 'RMM' in R:
install.packages('RMM', repos = c('https://statkim7578.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

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

3 exports 0.00 score 18 dependencies 4 scripts 169 downloads

Last updated 2 years agofrom:b17b4f157f. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-win-x86_64OKSep 15 2024
R-4.5-linux-x86_64OKSep 15 2024
R-4.4-win-x86_64OKSep 15 2024
R-4.4-mac-x86_64OKSep 15 2024
R-4.4-mac-aarch64OKSep 15 2024
R-4.3-win-x86_64OKSep 15 2024
R-4.3-mac-x86_64OKSep 15 2024
R-4.3-mac-aarch64OKSep 15 2024

Exports:Choice_Setrmmrmm_reshape

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrnumDerivpillarpkgconfigR6Rcpprlangtibbletidyselectutf8vctrswithr