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Robyn

3.12.1

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

0packages depend
38.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Bernardo LaresFirst published 2022-05-067 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
16
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-29
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-27
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 311 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
47%
Documented parameters
92%
Return-value docs
100%
References docs
0%

Downloads

38.2K
CRAN downloads in the past year
Rank #2,674 · ~105/day · ~3.2K/mo
Daily download trend is not available in this view yet.
1.9K30 days
6.6K90 days
38.2K1 year
Compare downloads with other packages →
Also on146 r2u16 autocran

Repository

Repository
1,502Stars
428Forks
101Open issues
13Open PRs
33Releases
1,569Commits
41Contributors
marketing-mix-modelingmarketing-mix-modellingmmmmarketing-scienceeconometricsadstockingcost-response-curvebudget-allocation
License MIT · 1,569 commits · Last activity 2026-01-26 · +0.9% stars, 30d

Stars over time

2025-08-18 · 1,3202026-08-16 · 1,502

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/facebookexperimental/robyn on 2026-08-16.

Continuous integration (1)
GitHub Actions
Lint, format, editor (1)
JetBrains/.idea
Governance and community (2)
Issue templatesPR template
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (5)
Maintainer (1)
Maintainer, Author
Authors (4)
Maintainer, Author
Copyright holders (1)
Copyright holder, Funder
Funders (1)
Copyright holder, Funder
Package Timeline

7 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 3.12.1Latest
    2025-07-03 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 3.11.1
    2024-06-27 · diff ↗
  • 3.11.0
    2024-06-19 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 3.10.3
    2023-05-17 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 3.9.0
    2023-02-08 · diff ↗
  • 3.7.2
    2022-09-01 · diff ↗
  • 3.6.3
    2022-05-06
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-05-06
Total releases
7 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Bundled data
131 KB / 3 files
Download size
1.0 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Robyn")
Lares, B., Meta Platforms, Inc., Sentana, L., Skokan, I., & Zhou, G. (2025). Robyn: Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science (Version 3.12.1) [Computer software]. https://doi.org/10.32614/CRAN.package.Robyn

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for Robyn version 3.12.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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