endorse
R endorse package for analyzing survey endorsement experiments
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
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○.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
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✓Committers with academic emails
3 of 9 committers (33.3%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.7%) to scientific vocabulary
Repository
R endorse package for analyzing survey endorsement experiments
Basic Info
Statistics
- Stars: 3
- Watchers: 6
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
R package endorse: Bayesian Measurement Models for Analyzing Endorsement Experiments
by Yuki Shiraito and Kosuke Imai
This package fits the hierarchical and non-hierarchical Bayesian measurement models proposed by Bullock, Imai, and Shapiro (2011) to analyze endorsement experiments. Endorsement experiments are a survey methodology for eliciting truthful responses to sensitive questions. This methodology is helpful when measuring support for socially sensitive political actors such as militant groups. The model is fitted with a Markov chain Monte Carlo algorithm and produces the output containing draws from the posterior distribution.
Owner
- Name: SensitiveQuestions
- Login: SensitiveQuestions
- Kind: organization
- Website: http://sensitivequestions.org
- Repositories: 3
- Profile: https://github.com/SensitiveQuestions
Software for analyzing list and endorsement experiments and the randomized response technique
GitHub Events
Total
Last Year
Committers
Last synced: over 3 years ago
All Time
- Total Commits: 39
- Total Committers: 9
- Avg Commits per committer: 4.333
- Development Distribution Score (DDS): 0.641
Top Committers
| Name | Commits | |
|---|---|---|
| Yuki Shiraito | s****o@p****u | 14 |
| graemeblair | g****r@g****m | 5 |
| brynrosenfeld | b****d@g****m | 4 |
| Graeme Blair | g****r@u****m | 4 |
| winston-chou | e****n@g****m | 3 |
| Kosuke Imai | k****i@p****u | 3 |
| Yuki | y****i@i****) | 2 |
| Kosuke Imai | I****i@H****u | 2 |
| Yuki Shiraito | y****o@g****m | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: 7 days
- Total issue authors: 0
- Total pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- 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
Pull Request Authors
- shiraito (1)
- brynrosenfeld (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- cran 344 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 13
- Total maintainers: 1
cran.r-project.org: endorse
Bayesian Measurement Models for Analyzing Endorsement Experiments
- Homepage: https://github.com/SensitiveQuestions/endorse/
- Documentation: http://cran.r-project.org/web/packages/endorse/endorse.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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Latest release: 1.6.2
published about 4 years ago
Rankings
Maintainers (1)
Dependencies
- coda * depends
- utils * depends