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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.5 |
rolling linux/jammy R-4.5 | promotionImpact_0.1.5.tar.gz |
118.9 KiB |
0.1.5 |
rolling linux/noble R-4.5 | promotionImpact_0.1.5.tar.gz |
118.7 KiB |
0.1.5 |
rolling source/ R- | promotionImpact_0.1.5.tar.gz |
43.1 KiB |
0.1.5 |
latest linux/jammy R-4.5 | promotionImpact_0.1.5.tar.gz |
118.9 KiB |
0.1.5 |
latest linux/noble R-4.5 | promotionImpact_0.1.5.tar.gz |
118.7 KiB |
0.1.5 |
latest source/ R- | promotionImpact_0.1.5.tar.gz |
43.1 KiB |
0.1.5 |
2026-04-26 source/ R- | promotionImpact_0.1.5.tar.gz |
43.1 KiB |
0.1.5 |
2026-04-23 source/ R- | promotionImpact_0.1.5.tar.gz |
43.1 KiB |
0.1.5 |
2026-04-09 windows/windows R-4.5 | promotionImpact_0.1.5.zip |
122.5 KiB |
0.1.5 |
2025-04-20 source/ R- | promotionImpact_0.1.5.tar.gz |
43.1 KiB |