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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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
- 1.2.02021-01-08 · diff ↗
- 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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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