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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.
Package details |
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Author | Gufeng Zhou [aut], Bernardo Lares [cre, aut], Leonel Sentana [aut], Igor Skokan [aut], Meta Platforms, Inc. [cph, fnd] |
Maintainer | Bernardo Lares <laresbernardo@gmail.com> |
License | MIT + file LICENSE |
Version | 3.11.1 |
URL | https://github.com/facebookexperimental/Robyn https://facebookexperimental.github.io/Robyn/ |
Package repository | View on CRAN |
Installation |
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