match2C
1.2.4Match One Sample using Two Criteria
Overview
Multivariate matching in observational studies typically has two goals: 1. to construct treated and control groups that have similar distribution of observed covariates and 2. to produce matched pairs or sets that are homogeneous in a few priority variables. This packages implements a network-flow-based method built around a tripartite graph that can simultaneously achieve both goals. The package also implements a template matching algorithm using a variant of the tripartite graph design. A brief description of the workflow and some examples are given in the vignette. A more elaborated tutorial can be found at https://www.researchgate.net/publication/359513837_Tutorial_for_R_Package_match2C.
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- Examples that run
- 25%
- Documented parameters
- 100%
- Return-value docs
- 94%
- References docs
- 5%
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People & History
7 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2024-04-20issues were not corrected despite reminders
- RR 4.3.0 released · 2023-04-21
- 1.2.42023-03-17 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.2.32022-03-28 · diff ↗
- 1.2.22022-03-04 · diff ↗
- 1.2.12022-01-23 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.1.12021-05-09 · diff ↗
- 1.1.02021-02-17 · diff ↗
- 0.1.02020-05-12
- RR 4.0.0 released · 2020-04-24
Package metadata
- Total releases
- 7
- License
- MIT + file LICENSE OSI
- Bundled data
- 24 KB / 1 file
- Download size
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