eCV
0.0.2Enhanced Coefficient of Variation and IDR Extensions for Reproducibility Assessment
Overview
Reproducibility assessment is essential in extracting reliable scientific insights from high-throughput experiments. While the Irreproducibility Discovery Rate (IDR) method has been instrumental in assessing reproducibility, its standard implementation is constrained to handling only two replicates. Package 'eCV' introduces an enhanced Coefficient of Variation (eCV) metric to assess the likelihood of omic features being reproducible. Additionally, it offers alternatives to the Irreproducible Discovery Rate (IDR) calculations for multi-replicate experiments. These tools are valuable for analyzing high-throughput data in genomics and other omics fields. The methods implemented in 'eCV' are described in Gonzalez-Reymundez et al., (2023) doi:10.1101/2023.12.18.572208.
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
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 60%
Downloads
Repository
Repository practices
Repository github.com/eclipsebio/ecv is linked, but repository-practices checks have not run for it yet.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
2 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
- 0.0.2Latest
- 0.0.12024-01-08
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-01-08
- Total releases
- 2 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 1.8 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Start here. This is the citation for the package itself.
citation("eCV")CRAN DOI
https://doi.org/10.32614/CRAN.package.eCVBibTeX, derived from DESCRIPTION
@Manual{eCV,
title = {eCV: Enhanced Coefficient of Variation and IDR Extensions for
Reproducibility Assessment},
author = {Gonzalez-Reymundez, Agustin},
year = {2024},
note = {R package version 0.0.2},
doi = {10.32614/CRAN.package.eCV},
url = {https://CRAN.R-project.org/package=eCV}
}Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.
This is the citation for the package. It is not a citation for the R Observatory.
Cite this page
Use this when the claim is about a measurement on this page.
BibTeX
@misc{robservatoryeCV,
author = {Balamuta, James Joseph},
title = {{R} {Observatory}: Metrics for {eCV} version 0.0.2},
year = {2026},
publisher = {HJJB, LLC},
url = {https://r-observatory.thecoatlessprofessor.com/packages/eCV},
note = {Data set. Data release v2026-08-05}
}APA
Balamuta, J. J. (2026). R Observatory: Metrics for eCV version 0.0.2 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/eCVRIS
TY - DATA
AU - Balamuta, James Joseph
TI - R Observatory: Metrics for eCV version 0.0.2
PY - 2026
PB - HJJB, LLC
N1 - Data release v2026-08-05
UR - https://r-observatory.thecoatlessprofessor.com/packages/eCV
ER - In prose
These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/eCV.Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.