rcr · PyPI

Advanced, but easy to use outlier rejection.

Project description

A suite of algorithms for powerful, but easy to use statistical outlier detection/rejection. Especially useful for cleaning heavily (sometimes >85%) contaminated datasets, while avoiding the rejection of non-outlier points. Supports weighted datasets, multi-dimensional model fitting, and much more. See https://github.com/nickk124/RCR for more information.

Project details

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2.4.7

Jul 8, 2020

2.4.6

Jul 6, 2020

This version

2.4.5

Jun 23, 2020

2.4.4

Jun 23, 2020

2.4.3

Jun 18, 2020

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rcr-2.4.5.tar.gz (415.8 kB view hashes)

Uploaded Jun 23, 2020 Source

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rcr-2.4.5-cp37-cp37m-macosx_10_9_x86_64.whl (931.6 kB view hashes)

Uploaded Jun 23, 2020 CPython 3.7m macOS 10.9+ x86-64

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Hashes for rcr-2.4.5.tar.gz
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Hashes for rcr-2.4.5-cp37-cp37m-macosx_10_9_x86_64.whl

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