fastcmh
0.2.7Significant Interval Discovery with Categorical Covariates
Overview
A method which uses the Cochran-Mantel-Haenszel test with significant pattern mining to detect intervals in binary genotype data which are significantly associated with a particular phenotype, while accounting for categorical covariates.
Install
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Documentation
- Examples that run
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- Documented parameters
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- Return-value docs
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- References docs
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Dependencies
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Code & Tests
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
- archivedRemoved from CRAN2025-12-25issues were not addressed in time
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 0.2.72016-09-13 · diff ↗
- 0.2.52016-09-07 · diff ↗
- 0.2.42016-09-05 · diff ↗
- 0.1.92016-08-17
- RR 3.3.0 released · 2016-05-03
Package metadata
- Total releases
- 4
- License
- GPL-2 | GPL-3 OSI
- Minimum R
- ≥ 3.3.0
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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citation("fastcmh")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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