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MarketMatching
View on CRAN: Click
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Download and install MarketMatching package within the R console
Install from CRAN:
install.packages("MarketMatching")
Install from Github:
library("remotes")
install_github("cran/MarketMatching")
Install by package version:
library("remotes")
install_version("MarketMatching", "1.2.1")
Attach the package and use:
library("MarketMatching")
Maintained by
Larsen Kim
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-14
Latest Update: 2021-01-08
Description:
For a given test market find the best control markets using time series matching and analyze the impact of an intervention. The intervention could be a marketing event or some other local business tactic that is being tested. The workflow implemented in the Market Matching package utilizes dynamic time warping (the 'dtw' package) to do the matching and the 'CausalImpact' package to analyze the causal impact. In fact, this package can be considered a "workflow wrapper" for those two packages. In addition, if you don't have a chosen set of test markets to match, the Market Matching package can provide suggested test/control market pairs and pseudo prospective power analysis (measuring causal impact at fake interventions).
How to cite:
Larsen Kim (2018). MarketMatching: Market Matching and Causal Impact Inference. R package version 1.2.1, https://cran.r-project.org/web/packages/MarketMatching
Previous versions and publish date:
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Other R packages that MarketMatching depends,
imports, suggests or enhances
Functions, R codes and Examples using
the MarketMatching R package
Some associated functions: MarketMatching . best_matches . inference . roll_up_optimal_pairs . test_fake_lift . weather .
Some associated R codes: MarketMatching.R . data.R . functions.R . Full MarketMatching package functions and examples
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