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Estimates the type of variables in non-quality controlled data. The prediction is based on a random forest model, trained on over 5000 medical variables with accuracy of 99%. The accuracy can hardy depend on type and coding style of data.
Package details |
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Author | Andreas Schulz, PhD [aut, cre] |
Maintainer | Andreas Schulz <ades-s@web.de> |
License | GPL (>= 3.0) |
Version | 0.8 |
Package repository | View on CRAN |
Installation |
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