UncertainData.jl

UncertainData.jl: a Julia package for working with measurements and datasets with uncertainties. - Published in JOSS (2019)

https://github.com/kahaaga/uncertaindata.jl

Science Score: 95.0%

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 7 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • Committers with academic emails
    1 of 5 committers (20.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords from Contributors

surrogate standardization pde fluxes fluid-dynamics plasma climate-change correlation simulations numerical-methods
Last synced: 6 months ago · JSON representation

Repository

Working efficiently with datasets where observations have associated uncertainties.

Basic Info
Statistics
  • Stars: 18
  • Watchers: 2
  • Forks: 5
  • Open Issues: 22
  • Releases: 40
Created about 7 years ago · Last pushed over 2 years ago
Metadata Files
Readme Changelog License

README.md

CI DOI DOI

UncertainData.jl

A Julia package for dealing with data values with associated uncertainties and datasets consisting of uncertain values.

Goals

  1. Systematic and intuitive ways of representing uncertain data.

  2. Easy and robust resampling of uncertain data, given pre-defined or custom user-defined constraints.

  3. Provide a framework for robust computation of ensemble statistics for uncertain data.

Please check out the documentation for more information.

Installation

UncertainData.jl is a registered Julia package. Install it by opening a Julia console and run

julia using Pkg Pkg.add("UncertainData")

Citing

If you use UncertainData.jl for any of your projects or scientific publications, please cite this small Journal of Open Source Software (JOSS) publication as follows

Haaga, (2019). UncertainData.jl: a Julia package for working with measurements and datasets with uncertainties.. Journal of Open Source Software, 4(43), 1666, https://doi.org/10.21105/joss.01666

Owner

  • Name: Kristian Agasøster Haaga
  • Login: kahaaga
  • Kind: user
  • Location: Bergen, Norway
  • Company: @earthsystemevolution

Post-doc at the Department of Earth Science, University of Bergen, Norway. I work on the detection of causal relationships from time series.

JOSS Publication

UncertainData.jl: a Julia package for working with measurements and datasets with uncertainties.
Published
November 01, 2019
Volume 4, Issue 43, Page 1666
Authors
Kristian Agasøster Haaga ORCID
Department of Earth Science, University of Bergen, Bergen, Norway, K. G. Jebsen Centre for Deep Sea Research, Bergen, Norway, Bjerknes Centre for Climate Research, Bergen, Norway
Editor
Olivia Guest ORCID
Tags
uncertainty measurements

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 329
  • Total Committers: 5
  • Avg Commits per committer: 65.8
  • Development Distribution Score (DDS): 0.033
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Kristian Agasøster Haaga k****a@g****m 318
github-actions[bot] 4****] 8
Julia TagBot 5****t 1
Jeffrey Sarnoff J****f 1
Daniel S. Katz d****z@i****g 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 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
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • julia 8 total
  • Total dependent packages: 3
  • Total dependent repositories: 7
  • Total versions: 38
juliahub.com: UncertainData

Working efficiently with datasets where observations have associated uncertainties.

  • Versions: 38
  • Dependent Packages: 3
  • Dependent Repositories: 7
  • Downloads: 8 Total
Rankings
Dependent repos count: 4.1%
Dependent packages count: 13.5%
Average: 17.2%
Forks count: 23.6%
Stargazers count: 27.6%
Last synced: 6 months ago

Dependencies

REQUIRE julia
  • Bootstrap *
  • Combinatorics *
  • Distributions *
  • DynamicalSystemsBase *
  • HypothesisTests *
  • Interpolations *
  • IntervalArithmetic 0.16
  • KernelDensity *
  • RecipesBase *
  • Reexport *
  • StaticArrays *
  • StatsBase *
  • julia 1.1
.github/workflows/CompatHelper.yml actions
.github/workflows/TagBot.yml actions
  • JuliaRegistries/TagBot v1.10.0 composite
.github/workflows/ci.yml actions
  • actions/cache v1 composite
  • actions/checkout v2 composite
  • codecov/codecov-action v1 composite
  • julia-actions/julia-buildpkg v1 composite
  • julia-actions/julia-processcoverage v1 composite
  • julia-actions/julia-runtest v1 composite
  • julia-actions/setup-julia v1 composite
  • styfle/cancel-workflow-action 0.6.0 composite