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Robyn  

Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science
View on CRAN: Click here


Download and install Robyn package within the R console
Install from CRAN:
install.packages("Robyn")

Install from Github:
library("remotes")
install_github("cran/Robyn")

Install by package version:
library("remotes")
install_version("Robyn", "3.11.1")



Attach the package and use:
library("Robyn")
Maintained by
Bernardo Lares
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-06
Latest Update: 2023-05-17
Description:
Semi-Automated Marketing Mix Modeling (MMM) aiming to reduce human bias by means of ridge regression and evolutionary algorithms, enables actionable decision making providing a budget allocation and diminishing returns curves and allows ground-truth calibration to account for causation.
How to cite:
Bernardo Lares (2022). Robyn: Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science. R package version 3.11.1, https://cran.r-project.org/web/packages/Robyn. Accessed 06 Nov. 2024.
Previous versions and publish date:
3.6.3 (2022-05-06 12:50), 3.7.2 (2022-09-01 22:20), 3.9.0 (2023-02-08 09:12), 3.10.3 (2023-05-17 18:50), 3.11.0 (2024-06-19 17:30)
Other packages that cited Robyn R package
View Robyn citation profile
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Complete documentation for Robyn
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