stantargets

bayesian high-performance-computing make r r-targetopia reproducibility rstats rstats-package stan statistics targets

Score: 5.356586274672012

Last synced: about 2 hours ago
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Repository metadata:

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Host: GitHub
URL: https://github.com/ropensci/stantargets
Owner: ropensci
License: other
Created: 2020-11-23T21:41:44.000Z (over 5 years ago)
Default Branch: main
Last Pushed: 2025-09-29T15:54:55.000Z (9 months ago)
Last Synced: 2026-01-27T18:19:00.178Z (5 months ago)
Topics: bayesian, high-performance-computing, make, r, r-targetopia, reproducibility, rstats, rstats-package, stan, statistics, targets
Language: R
Homepage: https://docs.ropensci.org/stantargets
Size: 1.43 MB
Stars: 50
Watchers: 6
Forks: 10
Open Issues: 3
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Codemeta: codemeta.json
- Notice: NOTICE

CodeMeta metadata:

@context: https://doi.org/10.5063/schema/codemeta-2.0
@type: SoftwareSourceCode
Identifier: stantargets
Description: Bayesian data analysis usually incurs long runtimes and cumbersome custom code. A pipeline toolkit tailored to Bayesian statisticians, the 'stantargets' R package leverages 'targets' and 'cmdstanr' to ease these burdens. 'stantargets' makes it super easy to set up scalable Stan pipelines that automatically parallelize the computation and skip expensive steps when the results are already up to date. Minimal custom code is required, and there is no need to manually configure branching, so usage is much easier than 'targets' alone. 'stantargets' can access all of 'cmdstanr''s major algorithms (MCMC, variational Bayes, and optimization) and it supports both single-fit workflows and multi-rep simulation studies. For the statistical methodology, please refer to 'Stan' documentation (Stan Development Team 2020) .
Name: stantargets: Targets for Stan Workflows
Related link: https://docs.ropensci.org/stantargets/
Code repository: https://github.com/ropensci/stantargets
Issue tracker: https://github.com/ropensci/stantargets/issues
License: https://spdx.org/licenses/MIT
Version: 0.1.1
Programming language:
- @type: ComputerLanguage
- Name: R
- Url: https://r-project.org
Runtime platform: R version 4.3.2 (2023-10-31)
Author:
- - @type: Person
  - Given name:
    - William
    - Michael
  - Family name: Landau
  - Email: will.landau.oss@gmail.com
  - @id: https://orcid.org/0000-0003-1878-3253
Copyright holder:
- - @type: Organization
  - Name: Eli Lilly and Company
Maintainer:
- - @type: Person
  - Given name:
    - William
    - Michael
  - Family name: Landau
  - Email: will.landau.oss@gmail.com
  - @id: https://orcid.org/0000-0003-1878-3253
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- System requirements: CmdStan >= 2.25.0
File size: 982.447KB
Citation:
- - @type: ScholarlyArticle
  - Date published: 2021
  - Author:
    - - @type: Person
      - Given name:
        William
        Michael
      - Family name: Landau
  - Name: The stantargets {R} package: a workflow framework for efficient reproducible {S}tan-powered {B}ayesian data analysis pipelines
  - Url: https://doi.org/10.21105/joss.03193
  - Pagination: 3193
  - Is part of:
    - @type: PublicationIssue
    - Issue number: 60
    - Date published: 2021
    - Is part of:
      - @type:
        PublicationVolume
        Periodical
      - Volume number: 6
      - Name: Journal of Open Source Software
Release notes: https://github.com/ropensci/stantargets/blob/master/NEWS.md
Readme: https://github.com/ropensci/stantargets/blob/main/README.md
Cont integration:
- https://github.com/ropensci/stantargets/actions?query=workflow%3Acheck
- https://app.codecov.io/gh/ropensci/stantargets
- https://github.com/ropensci/stantargets/actions?query=workflow%3Alint
Development status: https://www.repostatus.org/#active
Review:
- @type: Review
- Url: https://github.com/ropensci/software-review/issues/430
- Provider: https://ropensci.org
Keywords:
- r
- rstats
- reproducibility
- high-performance-computing
- stan
- bayesian
- statistics
- targets
- make
- rstats-package
- r-targetopia

Owner metadata:

Name: rOpenSci
Login: ropensci
Email: info@ropensci.org
Kind: organization
Description:
Website: https://ropensci.org/
Location: Berkeley, CA
Twitter: rOpenSci
Company:
Icon url: https://avatars.githubusercontent.com/u/1200269?v=4
Repositories: 307
Last Synced at: 2023-03-10T20:30:59.242Z
Profile URL: https://github.com/ropensci

GitHub Events

Total

Create event: 1
Fork event: 2
Issue comment event: 5
Issues event: 4
Push event: 9
Release event: 1
Watch event: 4
Total: 26

Last Year

Fork event: 1
Issue comment event: 4
Issues event: 2
Push event: 5
Watch event: 2
Total: 14

Committers metadata

Last synced: 6 months ago

Total Commits: 353
Total Committers: 4
Avg Commits per committer: 88.25
Development Distribution Score (DDS): 0.037

Commits in past year: 9
Committers in past year: 3
Avg Commits per committer in past year: 3.0
Development Distribution Score (DDS) in past year: 0.333

Name	Email	Commits
wlandau	w**u@g**m	340
Will Landau	1****u	9
Maëlle Salmon	m**n@y**e	3
aleksanderbl29	g**b@a**k	1

Issue and Pull Request metadata

Last synced: 9 months ago

Total issues: 33
Total pull requests: 9
Average time to close issues: 19 days
Average time to close pull requests: 15 days
Total issue authors: 7
Total pull request authors: 5
Average comments per issue: 1.42
Average comments per pull request: 0.67
Merged pull request: 7
Bot issues: 0
Bot pull requests: 0

Past year issues: 3
Past year pull requests: 1
Past year average time to close issues: 1 day
Past year average time to close pull requests: about 6 hours
Past year issue authors: 3
Past year pull request authors: 1
Past year average comments per issue: 1.33
Past year average comments per pull request: 1.0
Past year merged pull request: 1
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/ropensci/stantargets

Top Issue Authors

wlandau (24)
maelle (3)
stuvet (2)
adammwilson (1)
aleksanderbl29 (1)
ihuff (1)
odaniel1 (1)

Top Pull Request Authors

wlandau (3)
maelle (2)
stuvet (2)
wlandau-lilly (1)
aleksanderbl29 (1)

Top Issue Labels

type: new feature (12)
order: later (4)
type: potential direction (4)
type: bug (2)
type: maintenance (1)
topic: style (1)
topic: documentation (1)
type: trouble (1)

Top Pull Request Labels

type: new feature (1)

Dependencies

DESCRIPTION cran

R >= 3.5.0 depends
cmdstanr >= 0.5.0 imports
digest >= 0.6.25 imports
fs >= 1.5.0 imports
fst >= 0.9.2 imports
posterior >= 1.0.1 imports
purrr >= 0.3.4 imports
qs >= 0.23.2 imports
rlang >= 0.4.10 imports
stats * imports
tarchetypes >= 0.6.0 imports
targets >= 0.12.0 imports
tibble >= 3.0.1 imports
withr >= 2.1.2 imports
R.utils >= 2.10.1 suggests
dplyr >= 1.0.2 suggests
knitr >= 1.30 suggests
rmarkdown >= 2.3 suggests
testthat >= 3.0.0 suggests
visNetwork >= 2.0.9 suggests

.github/workflows/check.yaml actions

actions/checkout v3 composite
r-lib/actions/check-r-package v2 composite
r-lib/actions/setup-pandoc v2.2.4 composite
r-lib/actions/setup-r v2.2.4 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/cover.yaml actions

actions/checkout v3 composite
r-lib/actions/setup-pandoc v1 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/lint.yaml actions

actions/checkout v3 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

ecosyste.ms

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Summary