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promotionImpact (version 0.1.5)

Analysis & Measurement of Promotion Effectiveness

Description

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).

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Install

install.packages('promotionImpact')

Monthly Downloads

183

Version

0.1.5

License

BSD_3_clause + file LICENSE

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Maintainer

Nahyun Kim

Last Published

April 13th, 2021

Functions in promotionImpact (0.1.5)

sim.promotion

Promotion Schedule
promotionImpact

estimate effectiveness of promotions
format_time

unify date format
detectOutliers

detect some outliers
create.smooth.vars

calculate smoothed values imitated promotion sales
value_fit_plot

generate ggplot with fitted and target values
compareModels

compare several models
create.dummy.vars

generate data.frame with dummy variables for each promotion period
sim.data

Daily Total Sales
promotion.model

generate final input data and fit promotion model
sim.promotion.sales

Daily Promotion Sales with Promotion information