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).
- Version0.1.5
- R versionunknown
- LicenseBSD_3_clause
- LicenseLICENSE
- Needs compilation?No
- Last release04/13/2021
Team
Nahyun Kim
Hyemin Um
Show author detailsRolesAuthorEunjo Lee
Show author detailsRolesAuthorNCSOFT Corporation
Show author detailsRolesCopyright holder
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends4 packages
- Imports8 packages