forked from facebookexperimental/Robyn
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge branch 'main' of https://github.com/facebookexperimental/Robyn …
…into fix
- Loading branch information
Showing
54 changed files
with
3,595 additions
and
2,474 deletions.
There are no files selected for viewing
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
Oops, something went wrong.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,16 +1,16 @@ | ||
Package: Robyn | ||
Type: Package | ||
Title: Automated Marketing Mix Modeling (MMM) Open Source Beta Project from Facebook Marketing Science | ||
Version: 3.5.0 | ||
Title: Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science | ||
Version: 3.6.0 | ||
Authors@R: c( | ||
person("Gufeng", "Zhou", , "[email protected]", c("aut")), | ||
person("Leonel", "Sentana", , "[email protected]", c("aut")), | ||
person("Igor", "Skokan", , "[email protected]", c("aut")), | ||
person("Bernardo", "Lares", , "[email protected]", c("cre","aut"))) | ||
Maintainer: Gufeng Zhou <[email protected]>, Bernardo Lares <[email protected]> | ||
Description: Automated Marketing Mix Modeling (MMM) package that aims to reduce human bias by means of ridge regression and evolutionary algorithms, enables actionable decision making providing a budget allocator and diminishing returns curves and allows ground-truth calibration to account for causation. | ||
Description: Semi-Automated Marketing Mix Modeling (MMM) package that aims to reduce human bias by means of ridge regression and evolutionary algorithms, enables actionable decision making providing a budget allocator and diminishing returns curves and allows ground-truth calibration to account for causation. | ||
Depends: | ||
R (>= 3.5) | ||
R (>= 4.0) | ||
Imports: | ||
data.table, | ||
doParallel, | ||
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.