lassopv
Nonparametric P-Value Estimation for Predictors in Lasso
Science Score: 20.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.4%) to scientific vocabulary
Keywords
feature-selection
lasso
linear-regression
p-value
variable-selection
Last synced: 6 months ago
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Repository
Nonparametric P-Value Estimation for Predictors in Lasso
Basic Info
Statistics
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 0
Topics
feature-selection
lasso
linear-regression
p-value
variable-selection
Created about 9 years ago
· Last pushed over 3 years ago
Metadata Files
Readme
License
README
This package estimates the p-values for predictors x against target variable y in lasso regression, using the regularization strength when each predictor enters the active set of regularization path for the first time as the statistic. This is based on the assumption that predictors (of the same variance) that (first) become active earlier tend to be more significant. Three null distributions are supported: normal and spherical, which are computed separately for each predictor and analytically under approximation, which aims at efficiency and accuracy for small p-values. Reference: Lingfei Wang and Tom Michoel, Controlling false discoveries in Bayesian gene networks with lasso regression p-values, https://arxiv.org/pdf/1701.07011. 2017, 2018.
Owner
- Name: Lingfei Wang
- Login: lingfeiwang
- Kind: user
- Location: Cambridge, MA
- Company: Massachusetts General Hospital
- Repositories: 4
- Profile: https://github.com/lingfeiwang
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Lingfei Wang | L****g@e****k | 5 |
| Lingfei Wang | L****b@o****m | 3 |
Committer Domains (Top 20 + Academic)
ed.ac.uk: 1
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total 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
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
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Top Labels
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Packages
- Total packages: 2
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Total downloads:
- cran 250 last-month
- Total docker downloads: 48
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Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 1
(may contain duplicates) - Total versions: 4
- Total maintainers: 1
cran.r-project.org: lassopv
Nonparametric P-Value Estimation for Predictors in Lasso
- Homepage: https://github.com/lingfeiwang/lassopv
- Documentation: http://cran.r-project.org/web/packages/lassopv/lassopv.pdf
- License: GPL-3
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Latest release: 0.2.0
published almost 8 years ago
Rankings
Forks count: 21.0%
Dependent repos count: 24.0%
Dependent packages count: 28.8%
Stargazers count: 30.9%
Average: 33.0%
Downloads: 60.6%
Maintainers (1)
Last synced:
6 months ago
conda-forge.org: r-lassopv
- Homepage: https://github.com/lingfeiwang/lassopv
- License: GPL-3.0-only
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Latest release: 0.2.0
published about 7 years ago
Rankings
Dependent repos count: 34.0%
Dependent packages count: 51.2%
Average: 51.3%
Forks count: 57.4%
Stargazers count: 62.4%
Last synced:
6 months ago
Dependencies
lassopv/DESCRIPTION
cran
- R >= 2.10 depends
- lars * imports
- stats * imports