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).

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 + file LICENSE
URL:	https://github.com/ncsoft/promotionImpact
NeedsCompilation:	no
CRAN checks:	promotionImpact results

Documentation:

Reference manual:

promotionImpact.pdf

Downloads:

Package source:	promotionImpact_0.1.5.tar.gz
Windows binaries:	r-devel: promotionImpact_0.1.5.zip, r-release: promotionImpact_0.1.5.zip, r-oldrel: promotionImpact_0.1.5.zip
macOS binaries:	r-release (arm64): promotionImpact_0.1.5.tgz, r-oldrel (arm64): promotionImpact_0.1.5.tgz, r-release (x86_64): promotionImpact_0.1.5.tgz, r-oldrel (x86_64): promotionImpact_0.1.5.tgz
Old sources:	promotionImpact archive

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