FB NextGen MMM beta R script, v19 2020-04-29 ###### How To Start ###### The following files are contained in the zip: Four .R script files: - fb_nextgen_mmm_v19.exec.R # you only need this script to execute, it calls the other 3 scripts - fb_nextgen_mmm_v19.func.R # this contains all major functions and data preparation - fb_nextgen_mmm_v19.plot.R # this contains all plot functions - fb_nextgen_mmm_v19.bayes.R # this contains adapted functions from the library parBayesianOptimization Two .csv files: - de_simulated_data.csv # this is our simulated data set - generated_holidays.csv # this contains holidays of all countries from the library prophet All files should be placed in the same folder Please make sure you've installed all library specified in fb_nextgen_mmm_v19.exec.R first Initial setting is running 1000 random search trails with geometric adstockinng. After installing all libraries, if you select all and run in fb_nextgen_mmm_v19.exec.R, the script should run and produce one plot Script execution details please see comments in scripts ## Join the FB NextGen MMM community ## ###### FB Contact ###### gufeng@fb.com, Gufeng Zhou, Marketing Science Partner leonelsentana@fb.com, Leonel Sentana, Marketing Science Partner aprada@fb.com, Antonio Prada, Marketing Science Partner igorskokan@fb.com, Igor Skokan, Marketing Science Partner See the [CONTRIBUTING](CONTRIBUTING.md) file for how to help out. ## License FB NextGen MMM R script is MIT licensed, as found in the LICENSE file.
AakashChugh/Robyn
Robyn is a Marketing Mix Modeling (MMM) code. It can be used to build end-to-end time series regression models and as an econometrics code library. Automated, built for very large data sets, and is suitable for digital and complex consumer behaviour
RNOASSERTION