Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science R package Robyn version 3.12.1 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. Software 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 Bernardo Lares <laresbernardo@gmail.com> Comprehensive R Archive Network (CRAN) Gufeng Zhou [aut], Bernardo Lares [cre, aut], Igor Skokan [aut], Leonel Sentana [aut], Meta Platforms, Inc. [cph, fnd] MIT + file LICENSE (https://CRAN.R-project.org/package=Robyn/LICENSE) 2025-07-02 application/tgz https://CRAN.R-project.org/package=Robyn doi:10.32614/CRAN.package.Robyn