https://github.com/emjun/rtisane

Author statistical models from domain knowledge
https://github.com/emjun/rtisane

generalized-linear-models

Last synced: 1 day ago
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Author statistical models from domain knowledge

• Host: GitHub
• URL: https://github.com/emjun/rtisane
• Owner: emjun
• License: apache-2.0
• Created: 2022-01-20T16:29:54.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-11-07T19:23:08.000Z (about 2 months ago)
• Last Synced: 2024-11-07T19:24:00.347Z (about 2 months ago)
• Topics: generalized-linear-models
• Language: R
• Homepage: https://rtisane.tisane-stats.org/
• Size: 60.1 MB
• Stars: 2
• Watchers: 4
• Forks: 1
• Open Issues: 9
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# rTisane

[![R-CMD-check](https://github.com/emjun/rTisane/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/emjun/rTisane/actions/workflows/R-CMD-check.yaml)

rTisane is an R library and interactive system for authoring statistical models from domain knowledge.rTisane provides (i) a domain-specific language for expressing conceptual assumptions and (ii) an interactive disambiguation process for deriving an output statistical model. 

rTisane is designed for analysts who have domain expertise, are not statistical experts, and are comfortable with minimal programming (e.g., many researchers). Currently, rTisane supports authoring generalized linear models. 

rTisane is an active research project at [UCLA Computer Science](https://www.cs.ucla.edu/), previously at the [University of Washington](https://idl.cs.washington.edu/).

Our ACM CHI 2024 paper describes the design, development, and evaluation of rTisane: 

```

@inproceedings{jun2023rTisane,

  title={rTisane: Externalizing Conceptual Models for Data Analysis Prompts Reconsideration of Domain Assumptions and Facilitates Statistical Modeling},

  author={Jun, Eunice and Misback, Edward and Heer, Jeffrey and Just, Ren{\'e}},

  journal={Proceedings of the 2024 ACM Conference on Human Factors in Computing Systems (CHI)},

  pages={1--16},

  year={2024}

}

```

**Get in touch!** Especially if you are using rTisane, want to use it, or want to collaborate [get in touch](mailto:[email protected]).