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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 |
| Reference manual: | RMM.pdf |
| 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 |
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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.