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.
Version: 3.12.1 Depends: R (≥ 4.0.0) Imports: doParallel, doRNG, dplyr, foreach, ggplot2 (≥ 3.4.0), ggridges, glmnet, jsonlite, lares, lubridate, nloptr, patchwork (≥ 1.3.1), prophet, reticulate, stringr, tidyr Published: 2025-07-02 DOI: 10.32614/CRAN.package.Robyn Author: Gufeng Zhou [aut], Bernardo Lares [cre, aut], Igor Skokan [aut], Leonel Sentana [aut], Meta Platforms, Inc. [cph, fnd] Maintainer: Bernardo Lares <laresbernardo at gmail.com> BugReports: https://github.com/facebookexperimental/Robyn/issues License: MIT + file LICENSE URL: https://github.com/facebookexperimental/Robyn, https://facebookexperimental.github.io/Robyn/ NeedsCompilation: no Materials: README CRAN checks: Robyn results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Robyn to link to this page.
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