Compositions

An extensive package for compositional data analysis. The major implementations are presented as follows.

Various transformation functions along with their inverses have been implemented to aid compositional data analysis (CoDA).

Installation

pip install compositions-coda

Usage

Transformations:

.. role:: raw-html(raw) :format: html
- Centered Log Ratio (clr)
  - transform.clr for forward transformation S :sup:D :raw-html:→ R :sup:D.
  - transform.clrInv for inverse transform R :sup:D :raw-html:→ S :sup:D.
- Isometric Log Ratio (ilr)
  - transform.ilr for forward transformation S :sup:D :raw-html:→ R :sup:D-1.
  - transform.ilrInv for inverse transform R :sup:D-1 :raw-html:→ S :sup:D.
- Additive Log Ratio (alr)
  - transform.alr for forward transform S :sup:D :raw-html:→ R :sup:D-1.
  - transform.alrInv for inverse transform R :sup:D-1 :raw-html:→ S :sup:D.

License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3

Metadata

License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3

Release files for compositions-coda 1.0.3

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Source distribution for compositions-coda 1.0.3
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Table of built distributions (wheels) for compositions-coda 1.0.3
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