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promotionImpact: Analysis & Measurement of Promotion Effectiveness
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).
Getting started
Browse package contents
Package details |
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| Author | Nahyun Kim [cre, aut], Hyemin Um [aut], Eunjo Lee [aut], NCSOFT Corporation [cph] |
| Maintainer | Nahyun Kim <nhkim1302@ncsoft.com> |
| License | BSD_3_clause + file LICENSE |
| Version | 0.1.5 |
| URL | https://github.com/ncsoft/promotionImpact |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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