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

Package details

AuthorNahyun Kim [cre, aut], Hyemin Um [aut], Eunjo Lee [aut], NCSOFT Corporation [cph]
MaintainerNahyun Kim <[email protected]>
LicenseBSD_3_clause + file LICENSE
Version0.1.2
URL https://github.com/ncsoft/promotionImpact
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("promotionImpact")

Try the promotionImpact package in your browser

Any scripts or data that you put into this service are public.

promotionImpact documentation built on June 5, 2019, 5:03 p.m.