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revss

revss is an R package which implements the estimation techniques described in Rousseeuw & Verboven (2002) for the location and scale of very small samples.

Citation

If you use the package, please cite it as:

Avraham Adler (2020). revss: Robust Estimation in Very Small Samples. R package version 0.0.2. https://CRAN.R-project.org/package=revss

A BibTeX entry for LaTeX users is:

  @Manual{,
    title = {revss: Robust Estimation in Very Small Samples},
    author = {Avraham Adler},
    year = {2020},
    url = {https://CRAN.R-project.org/package=revss},
    note = {R package version 0.0.2},
  }

Acknowledgements

The author is grateful Dr. Peter Rousseeuw for his response to this MathExchange question about the implementation.

Contributions

Please ensure that all contributions comply with both R and CRAN standards for packages.

Versioning

This project attempts to follow Semantic Versioning

Changelog

This project attempts to follow the changelog system at Keep a CHANGELOG

Dependancies

This project intends to have as few dependancies as possible. Please consider that when writing code.

Style

Please review and conform to the current code stylistic choices (e.g. 80 character lines, two-space indentations).

Documentation

Please provide valid .Rd files and not roxygen-style documentation.

Tests

Please review the current test suite and supply similar testthat-compatible unit tests for all added functionality.

Submission

If you would like to contribute to the project, it may be prudent to first contact the maintainer via email. A request or suggestion may be raised as an issue as well. To supply a pull request (PR), please:

1. Fork the project into your own local Bitbucket repository
2. Create a branch in your repository in which you will make your changes
3. Push that branch to Bitbucket and then create a pull request

At this point, the PR will be discussed and eventually accepted or rejected.