Market Matching and Causal Impact Inference

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 be a marketing event or some other local business tactic that is being tested. The workflow implemented in MarketMatching 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.


Reference manual

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1.1.1 by Larsen Kim, 3 months ago

Browse source code at

Authors: Larsen Kim [aut, cre]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports data.table, ggplot2, dplyr, utils, iterators, doParallel, parallel, foreach, reshape2, CausalImpact, zoo, bsts, scales, dtw

Suggests knitr, rmarkdown

See at CRAN