promotionImpact (0.1.2)

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Analysis & Measurement of Promotion Effectiveness.

https://github.com/ncsoft/promotionImpact
http://cran.r-project.org/web/packages/promotionImpact

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) and some prespecified variables (e.g. start of a month).

Maintainer: Nahyun Kim
Author(s): Nahyun Kim [cre, aut], Hyemin Um [aut], Eunjo Lee [aut], NCSOFT Corporation [cph]

License: BSD_3_clause + file LICENSE

Uses: crayon, data.table, dplyr, ggplot2, ggpubr, KernSmooth, lmtest, prophet, Rcpp, reshape2, scales, stringr, strucchange

Released 5 months ago.


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