Mcar test implementation #142
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…. Implementation of the Little's test + unit test.
…garding the random generator seed.
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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 the dataset. We should first to test if data are MCAR or not through the Little's test.