CRAN/E | promotionImpact

promotionImpact

Analysis & Measurement of Promotion Effectiveness

Installation

About

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).

github.com/ncsoft/promotionImpact

Key Metrics

Version 0.1.5
R ≥ 3.5.0
Published 2021-04-13 1111 days ago
Needs compilation? no
License BSD_3_clause
License File
CRAN checks promotionImpact results

Downloads

Yesterday 8 +14%
Last 7 days 62 +41%
Last 30 days 160 -7%
Last 90 days 496 -31%
Last 365 days 2.155 -24%

Maintainer

Maintainer

Nahyun Kim

nhkim1302@ncsoft.com

Authors

Nahyun Kim

cre / aut

Hyemin Um

aut

Eunjo Lee

aut

NCSOFT Corporation

cph

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

promotionImpact archive

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