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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.
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 |
Reference manual: | Robyn.pdf |
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 |
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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.