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.
| Version: | 1.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | data.table, ggplot2, dplyr, utils, iterators, doParallel, parallel, foreach, reshape2, CausalImpact, zoo, bsts, scales, dtw |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-11-14 |
| Author: | Larsen Kim [aut, cre] |
| Maintainer: | Larsen Kim <kblarsen4 at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | MarketMatching results |
| Reference manual: | MarketMatching.pdf |
| Vignettes: |
MarketMatching Vignette |
| Package source: | MarketMatching_1.1.1.tar.gz |
| Windows binaries: | r-devel: MarketMatching_1.1.1.zip, r-release: MarketMatching_1.1.1.zip, r-oldrel: MarketMatching_1.1.1.zip |
| OS X binaries: | r-release: MarketMatching_1.1.1.tgz, r-oldrel: MarketMatching_1.1.1.tgz |
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