Variant Quality Investigation Helper
Overview
Imports Variant Calling Format file into R. It can detect whether a sample contains contaminant from the same species. In the first stage of the approach, a change-point detection method is used to identify copy number variations for filtering. Next, features are extracted from the data for a support vector machine model. For log-likelihood calculation, the deviation parameter is estimated by maximum likelihood method. Using a radial basis function kernel support vector machine, the contamination of a sample can be detected.
Install
Health
CRAN check results are not tracked yet.
Documentation
- Help pages
- 27
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 50%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-09-17email to the maintainer is undeliverable
- 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
- 1.0.02018-09-05
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-09-05
- Total releases
- 1 / 8 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.4.0
- Bundled data
- 91 KB / 4 files
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("vanquish")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.