Analysis & Measurement of Promotion Effectiveness
compare several models
generate data.frame with dummy variables for each promotion period
calculate smoothed values imitated promotion sales
detect some outliers
unify date format
generate final input data and fit promotion model
estimate effectiveness of promotions
generate ggplot with fitted and target values
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).