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Robyn
View on CRAN: Click
here
Download and install Robyn package within the R console
Install from CRAN:
install.packages("Robyn")
Install from Github:
library("remotes")
install_github("cran/Robyn")
Install by package version:
library("remotes")
install_version("Robyn", "3.11.1")
Attach the package and use:
library("Robyn")
Maintained by
Bernardo Lares
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-06
Latest Update: 2023-05-17
Description:
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.
How to cite:
Bernardo Lares (2022). Robyn: Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science. R package version 3.11.1, https://cran.r-project.org/web/packages/Robyn. Accessed 06 Nov. 2024.
Previous versions and publish date:
Other packages that cited Robyn R package
View Robyn citation profile
Other R packages that Robyn depends,
imports, suggests or enhances
Complete documentation for Robyn
Functions, R codes and Examples using
the Robyn R package
Some associated functions: Robyn . adstocks . dt_prophet_holidays . dt_simulated_weekly . fit_spend_exposure . hyper_limits . hyper_names . mic_men . prophet_decomp . robyn_allocator . robyn_clusters . robyn_converge . robyn_inputs . robyn_mmm . robyn_onepagers . robyn_outputs . robyn_refresh . robyn_response . robyn_run . robyn_save . robyn_train . robyn_update . robyn_write . saturation_hill . set_holidays .
Some associated R codes: allocator.R . auxiliary.R . checks.R . clusters.R . convergence.R . data.R . exports.R . imports.R . inputs.R . json.R . model.R . outputs.R . pareto.R . plots.R . refresh.R . response.R . transformation.R . zzz.R . Full Robyn package functions and examples
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