EbayesThresh

R package for Empirical Bayes thresholding and related methods.

https://github.com/stephenslab/ebayesthresh

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    3 of 7 committers (42.9%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.2%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

R package for Empirical Bayes thresholding and related methods.

Basic Info
Statistics
  • Stars: 4
  • Watchers: 5
  • Forks: 1
  • Open Issues: 2
  • Releases: 0
Created about 9 years ago · Last pushed over 8 years ago
Metadata Files
Readme License

README.md

EbayesThresh: Empirical Bayes thresholding in R

CRAN status badge Travis CI Build Status Appveyor Build status

The EbayesThresh package provides a simple interface for Empirical Bayes thresholding using the methods developed by I. M. Johnstone and B. W. Silverman.

License

The EbayesThresh source code repository is free software: you can redistribute it under the terms of the GNU General Public License. All the files in this project are part of EbayesThresh. This project is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See file LICENSE for the full text of the license.

Quick Start

Install the latest release of the EbayesThresh package using devtools:

R library(devtools) install_github("stephenslab/EbayesThresh@v1.4-12")

Load EbayesThresh into your R environment, and get an overview of the package:

R library(EbayesThresh) help(package = EbayesThresh)

Explore the EbayesThresh vignette, either on the Web, or in R:

R vignette("ebayesthresh")

What's included

This is the current structure of the R package:

bash ├── DESCRIPTION ├── LICENSE ├── NAMESPACE ├── R ├── README.md ├── inst │   └── kan-xu-thesis.pdf ├── man ├── tests │   ├── testthat │   └── testthat.R └── vignettes └── ebayesthresh.Rmd

Credits

The EbayesThresh software package was originally developed by Bernard W. Silverman and Ludger Evers, with extensions introduced by Kan Xu, Peter Carbonetto and Matthew Stephens in the Department of Statistics at the University of Chicago.

Owner

  • Name: Stephens lab
  • Login: stephenslab
  • Kind: organization

Research in statistical and computational methods for genetics at the University of Chicago.

GitHub Events

Total
Last Year

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 112
  • Total Committers: 7
  • Avg Commits per committer: 16.0
  • Development Distribution Score (DDS): 0.375
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Peter Carbonetto p****o@g****m 70
stephens999 s****9@g****m 19
Kan Xu k****u@u****u 14
Kan Xu k****6@g****m 5
Bernard Silverman b****n@s****k 2
Ludger Evers l****r@s****k 1
Unknown author u****n@u****n 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: over 2 years ago

All Time
  • Total issues: 4
  • Total pull requests: 0
  • Average time to close issues: 2 days
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 1.5
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • stephens999 (4)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • cran 78,292 last-month
  • Total docker downloads: 43,390
  • Total dependent packages: 7
    (may contain duplicates)
  • Total dependent repositories: 6
    (may contain duplicates)
  • Total versions: 5
  • Total maintainers: 1
cran.r-project.org: EbayesThresh

Empirical Bayes Thresholding and Related Methods

  • Versions: 4
  • Dependent Packages: 6
  • Dependent Repositories: 6
  • Downloads: 78,292 Last month
  • Docker Downloads: 43,390
Rankings
Docker downloads count: 0.6%
Downloads: 6.4%
Dependent packages count: 7.3%
Average: 11.8%
Dependent repos count: 12.0%
Forks count: 21.0%
Stargazers count: 23.6%
Maintainers (1)
Last synced: 12 months ago
conda-forge.org: r-ebayesthresh
  • Versions: 1
  • Dependent Packages: 1
  • Dependent Repositories: 0
Rankings
Dependent packages count: 28.8%
Dependent repos count: 34.0%
Average: 45.2%
Stargazers count: 57.0%
Forks count: 61.1%
Last synced: 12 months ago

Dependencies

DESCRIPTION cran
  • stats * imports
  • wavethresh * imports
  • dplyr * suggests
  • ggplot2 * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests