The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 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:

Reference manual: Robyn.pdf

Downloads:

Package source: Robyn_3.11.1.tar.gz
Windows binaries: r-devel: Robyn_3.11.1.zip, r-release: Robyn_3.11.1.zip, r-oldrel: Robyn_3.11.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Robyn to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.