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MCAR Test implementation #132

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3 tasks
adriencrtr opened this issue Apr 8, 2024 · 0 comments
Open
3 tasks

MCAR Test implementation #132

adriencrtr opened this issue Apr 8, 2024 · 0 comments
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enhancement New feature or request

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@adriencrtr
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adriencrtr commented Apr 8, 2024

Why ?

There are 3 types of missing data : MCAR, MAR and MNAR. In the imputer selection process, we must choose a holes generator. It would be suitable to select a holes generator that reflects the holes present in the dataset. The aim is to provide a tool for characterizing the user's hole type.

Current situation :

No tool available today in Qolmat.

Improvement sought :

Provide a tool to characterize the user's hole present in his/her dataset. We should first to test if data are MCAR or not.

================== Tasks ==================

  • Implement the Little's Test in case of two variables iid where only one is missing.
  • Implement the Little's test with multiple variable variables and missing patterns and known parameters.
  • Implement the Little's test with multiple variable variables and missing patterns and unknown parameters.
@adriencrtr adriencrtr added the enhancement New feature or request label Apr 8, 2024
@adriencrtr adriencrtr self-assigned this Apr 8, 2024
@adriencrtr adriencrtr linked a pull request Apr 25, 2024 that will close this issue
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