Science Score: 23.0%
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
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
2 of 5 committers (40.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.8%) to scientific vocabulary
Last synced: 10 months ago
·
JSON representation
Repository
Bayesian Linear Mixed Effect Models
Basic Info
- Host: GitHub
- Owner: vdorie
- Language: R
- Default Branch: master
- Size: 577 KB
Statistics
- Stars: 44
- Watchers: 3
- Forks: 8
- Open Issues: 8
- Releases: 0
Created about 11 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
Changelog
README.md
blme
Bayesian Linear Mixed Effect Models
A package for R. Built off of lme4
Pre-built bundles of the package are available on CRAN. These can be installed from within R using the typical install.packages() mechanism.
Steps to install from source:
- Install the
remotespackage from within R:
R
install.packages("remotes")
- Run:
R
remotes::install_github("vdorie/blme")
Owner
- Name: Vincent Dorie
- Login: vdorie
- Kind: user
- Company: Code For America @codeforamerica
- Repositories: 10
- Profile: https://github.com/vdorie
Principal Data Scientist
GitHub Events
Total
- Issues event: 1
- Watch event: 4
- Issue comment event: 1
- Push event: 1
Last Year
- Issues event: 1
- Watch event: 4
- Issue comment event: 1
- Push event: 1
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Vincent Dorie | v****t@s****u | 18 |
| Vincent Dorie | v****e@g****m | 14 |
| Vincent Dorie | v****4@n****u | 3 |
| bbolker | b****r@g****m | 1 |
| wkmor1 | 1****1@u****m | 1 |
Committer Domains (Top 20 + Academic)
nyu.edu: 1
stat.columbia.edu: 1
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 15
- Total pull requests: 2
- Average time to close issues: 6 days
- Average time to close pull requests: 4 days
- Total issue authors: 12
- Total pull request authors: 2
- Average comments per issue: 2.53
- Average comments per pull request: 3.5
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 2
- Pull request authors: 0
- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- bbolker (2)
- bachlaw (2)
- mgoplerud (2)
- Simon-Zhen (1)
- JJ-Zhang-DS (1)
- Es-aqua (1)
- randel (1)
- brianhuey (1)
- JacobGry (1)
- AndrewLawrence (1)
- snuggleduck (1)
- longouyang (1)
Pull Request Authors
- wkmor1 (1)
- bbolker (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- cran 4,569 last-month
- Total docker downloads: 45,512
-
Total dependent packages: 9
(may contain duplicates) -
Total dependent repositories: 29
(may contain duplicates) - Total versions: 15
- Total maintainers: 1
cran.r-project.org: blme
Bayesian Linear Mixed-Effects Models
- Homepage: https://github.com/vdorie/blme
- Documentation: http://cran.r-project.org/web/packages/blme/blme.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
-
Latest release: 1.0-6
published almost 2 years ago
Rankings
Dependent repos count: 5.0%
Dependent packages count: 6.1%
Downloads: 7.0%
Stargazers count: 8.1%
Forks count: 8.7%
Average: 9.7%
Docker downloads count: 23.1%
Maintainers (1)
Last synced:
11 months ago
conda-forge.org: r-blme
- Homepage: https://github.com/vdorie/blme
- License: GPL-2.0-or-later
-
Latest release: 1.0_4
published almost 4 years ago
Rankings
Dependent packages count: 28.8%
Dependent repos count: 34.0%
Average: 37.3%
Stargazers count: 41.7%
Forks count: 44.7%
Last synced:
11 months ago
Dependencies
DESCRIPTION
cran
- R >= 3.0 depends
- lme4 >= 1.0 depends
- methods * imports
- stats * imports
- utils * imports
- expint >= 0.1 suggests
- testthat * suggests