Robyn: Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science

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: 3.11.1
Depends: R (≥ 4.0.0)
Imports: doParallel, doRNG, dplyr, foreach, ggplot2, ggridges, glmnet, jsonlite, lares, lubridate, minpack.lm, nloptr, patchwork, prophet, reticulate, stringr, tidyr
Published: 2024-06-27
DOI: 10.32614/CRAN.package.Robyn
Author: Gufeng Zhou [aut], Bernardo Lares [cre, aut], Leonel Sentana [aut], Igor Skokan [aut], Meta Platforms, Inc. [cph, fnd]
Maintainer: Bernardo Lares <laresbernardo at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: Robyn results


Reference manual: Robyn.pdf


Package source: Robyn_3.11.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): Robyn_3.11.1.tgz, r-oldrel (arm64): Robyn_3.11.1.tgz, r-release (x86_64): Robyn_3.11.1.tgz, r-oldrel (x86_64): Robyn_3.11.1.tgz
Old sources: Robyn archive


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