nimblesmc

Sequential Monte Carlo methods for NIMBLE

https://github.com/nimble-dev/nimblesmc

Science Score: 59.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    2 of 4 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.1%) to scientific vocabulary

Keywords from Contributors

bayesian-inference bayesian-methods hierarchical-models mcmc probabilistic-programming
Last synced: 6 months ago · JSON representation

Repository

Sequential Monte Carlo methods for NIMBLE

Basic Info
  • Host: GitHub
  • Owner: nimble-dev
  • Language: R
  • Default Branch: devel
  • Size: 175 KB
Statistics
  • Stars: 2
  • Watchers: 9
  • Forks: 2
  • Open Issues: 4
  • Releases: 3
Created almost 6 years ago · Last pushed 9 months ago
Metadata Files
Readme

README.md

nimbleSMC

Build Status CRAN DOI Google Group

Website | Documentation | Examples | Developing | Workshop materials

Sequential Monte Carlo methods for NIMBLE. As of version 0.10.0 of NIMBLE (October 2020), NIMBLE's SMC methods are now in nimbleSMC.

Please see the main NIMBLE repository for more details.

Owner

  • Name: nimble-dev
  • Login: nimble-dev
  • Kind: organization

GitHub Events

Total
  • Issues event: 2
  • Issue comment event: 1
  • Push event: 10
Last Year
  • Issues event: 2
  • Issue comment event: 1
  • Push event: 10

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 84
  • Total Committers: 4
  • Avg Commits per committer: 21.0
  • Development Distribution Score (DDS): 0.381
Past Year
  • Commits: 8
  • Committers: 1
  • Avg Commits per committer: 8.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Christopher Paciorek p****k@s****u 52
dochvam d****m@g****m 30
perrydv p****v 1
perrydv p****e@b****u 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 13
  • Total pull requests: 3
  • Average time to close issues: 11 months
  • Average time to close pull requests: 2 months
  • Total issue authors: 2
  • Total pull request authors: 2
  • Average comments per issue: 1.85
  • Average comments per pull request: 0.33
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 1
  • Average time to close issues: 6 days
  • Average time to close pull requests: 30 minutes
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • paciorek (11)
  • vivid225 (1)
  • perrydv (1)
Pull Request Authors
  • danielturek (3)
  • paciorek (1)
Top Labels
Issue Labels
cleanup (3) enhancement (3) bug (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 554 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 4
  • Total maintainers: 1
cran.r-project.org: nimbleSMC

Sequential Monte Carlo Methods for 'nimble'

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 554 Last month
Rankings
Forks count: 17.0%
Dependent repos count: 23.8%
Dependent packages count: 28.6%
Average: 29.6%
Stargazers count: 30.8%
Downloads: 47.9%
Maintainers (1)
Last synced: 6 months ago

Dependencies

packages/nimbleSMC/DESCRIPTION cran
  • R >= 3.1.2 depends
  • nimble >= 0.10.0 depends
  • methods * imports
  • testthat * suggests
.github/workflows/ci.yaml actions
  • actions/cache v2 composite
  • actions/checkout v3 composite
  • actions/upload-artifact main composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite