Analysis and measurement of promotion effectiveness on a given target variable (e.g. daily sales). After converting promotion schedule into dummy or smoothed predictor variables, the package estimates the effects of these variables controlled for trend/periodicity/structural change using prophet by Taylor and Letham (2017) <doi:10.7287/peerj.preprints.3190v2> and some prespecified variables (e.g. start of a month).
| Version: | 0.1.5 |
| Depends: | R (≥ 3.5.0),Rcpp (≥ 0.12.17),dplyr (≥ 0.7.6),ggplot2 (≥3.0.0),scales (≥ 1.0.0) |
| Imports: | KernSmooth (≥ 2.23.15),ggpubr (≥ 0.1.8),reshape2 (≥1.4.3),stringr (≥ 1.3.1),strucchange (≥ 1.5.1),lmtest (≥0.9),crayon (≥ 1.3.4),prophet (≥ 0.6.1) |
| Published: | 2021-04-13 |
| DOI: | 10.32614/CRAN.package.promotionImpact |
| Author: | Nahyun Kim [cre, aut], Hyemin Um [aut], Eunjo Lee [aut], NCSOFT Corporation [cph] |
| Maintainer: | Nahyun Kim <nhkim1302 at ncsoft.com> |
| License: | BSD_3_clause + fileLICENSE |
| URL: | https://github.com/ncsoft/promotionImpact |
| NeedsCompilation: | no |
| CRAN checks: | promotionImpact results |