forked from facebookexperimental/Robyn
-
Notifications
You must be signed in to change notification settings - Fork 0
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
License
AakashChugh/Robyn
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
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 ###### [email protected], Gufeng Zhou, Marketing Science Partner [email protected], Leonel Sentana, Marketing Science Partner [email protected], Antonio Prada, Marketing Science Partner [email protected], 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.
About
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
Resources
License
Code of conduct
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- R 100.0%