MarketMatching
1.2.1Market Matching and Causal Impact Inference
Overview
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).
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 6includes a package overview page
- Examples that run
- 0%5 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.2.1Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.2.0
- RR 4.0.0 released · 2020-04-24
- 1.1.22019-07-03 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.1.12018-11-14
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-11-14
- Total releases
- 4 / 8 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.3.0
- Bundled data
- 5.8 KB / 1 file
- Download size
- 620 KB
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