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promotionImpact

Analysis & Measurement of Promotion Effectiveness

v0.1.5 · Apr 13, 2021 · BSD_3_clause + file LICENSE

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) <doi:10.7287/peerj.preprints.3190v2> and some prespecified variables (e.g. start of a month).

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r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp dplyr ggplot2 (>= 3.0.0) scales KernSmooth ggpubr reshape2 (>= 1.4.3) stringr strucchange lmtest (>= 0.9) crayon prophet promotionImpact

Version History

new 0.1.5 Mar 10, 2026
updated 0.1.5 ← 0.1.4 diff Apr 12, 2021
updated 0.1.4 ← 0.1.3 diff Jun 28, 2020
updated 0.1.3 ← 0.1.2 diff Mar 30, 2020
new 0.1.2 Jun 4, 2019