https://github.com/novartis/knockofftools

An R-package containing a suite of knockoffs functions and methods from existing R-packages and the knockoffs literature. Some of the R functions are novel implementations of recent methods.
https://github.com/novartis/knockofftools

Last synced: 11 months ago
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An R-package containing a suite of knockoffs functions and methods from existing R-packages and the knockoffs literature. Some of the R functions are novel implementations of recent methods.

• Host: GitHub
• URL: https://github.com/novartis/knockofftools
• Owner: Novartis
• License: mit
• Created: 2023-10-17T16:23:35.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-04T13:24:08.000Z (over 2 years ago)
• Last Synced: 2024-10-22T08:04:56.747Z (over 1 year ago)
• Language: R
• Homepage: http://opensource.nibr.com/knockofftools/
• Size: 4.77 MB
• Stars: 1
• Watchers: 3
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
The `knockofftools` package

====================

A suite of knockoffs functions and methods from existing R-packages and papers. Some of the R functions are simple wrapper 

functions, while others are novel implementations of recent methods.

## Invoking the R-package in development mode

To invoke the R-package in development mode: please clone the repository, set it as working directory of your R session, and run

`devtools::load_all()`.

## How to use knockofftools

In the vignette folder we provide various example use cases of the knockofftools. 

## References 

Knockoff tools is introduced in [Zimmermann et al. 2024)](https://ascpt.onlinelibrary.wiley.com/doi/full/10.1002/cpt.3211).

Furthermore, details of the novel implemented methods can be found in the following papers:

- Sparse sequential knockoffs in [Zimmermann et al. (2024)](https://ascpt.onlinelibrary.wiley.com/doi/full/10.1002/cpt.3211)

- Sequential knockoffs in [Kormaksson et al. (2021)](https://onlinelibrary.wiley.com/doi/full/10.1002/sim.8955)

- Predictive knockoffs in [Sechidis et al. (2021)](https://onlinelibrary.wiley.com/doi/full/10.1002/sim.9134)

If you make use of any of these, please cite the papers above.

# Code authors

- Matthias Kormaksson, matthias-1.kormaksson_ext@novartis.com

- Konstantinos (Kostas) Sechidis, kostas.sechidis@novartis.com

- Manuela Zimmermann, manuela.zimmermann@novartis.com