https://github.com/google/GeoexperimentsResearch

An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google product.
https://github.com/google/GeoexperimentsResearch

Last synced: 3 months ago
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An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google product.

• Host: GitHub
• URL: https://github.com/google/GeoexperimentsResearch
• Owner: google
• License: apache-2.0
• Archived: true
• Created: 2017-03-21T15:31:57.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-10-03T18:11:43.000Z (about 5 years ago)
• Last Synced: 2024-05-14T00:14:18.780Z (6 months ago)
• Language: R
• Homepage:
• Size: 1.5 MB
• Stars: 124
• Watchers: 14
• Forks: 54
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Changelog: ChangeLog
  • Contributing: CONTRIBUTING
  • License: LICENSE

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README

        
# R package GeoexperimentsResearch version 1.0.3

Copyright (C) 2017 Google, Inc.

License: Apache 2.0

## Disclaimer

This is not an official Google product. For research purposes only.

## What is this R package for?

This R package ('GeoexperimentsResearch') is an open-source implementation of the geo

experiment analysis methodology developed at Google [1, 2].

This package provides object classes and methods and functions for handling,

verifying, and analyzing data from geo experiments. Version 1.0 implements the

geo experiment methodology presented in [1], also called the geo-based

regression (GBR), and also the follow-up methodology 'time-based regression'

(TBR), introduced in [2].

## Documentation

See the vignette and the manual in this package (in the subdirectory inst/doc/

in the source package).

## References

[1] Vaver, J. and Koehler, J. (2011)

    [Measuring Ad Effectiveness Using Geo Experiments](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/38355.pdf).

[2] Kerman, J., Wang, P. and Vaver, J. (2017)

    [Estimating Ad Effectiveness Using Geo Experiments in a Time-Based Regression Framework](https://research.google.com/pubs/pub45950.html).