Metadata-Version: 2.1
Name: compositions-coda
Version: 1.0.3
Summary: An extensive package for Compositional Data Analysis (CoDA)
Home-page: https://github.com/prablordeppey/compositions
Author: Ablordeppey Prosper
Author-email: prablordeppey@gmail.com
License: MIT
Project-URL: Bug Tracker, https://github.com/prablordeppey/compositions/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

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
-----

1. **Transformations**:

	.. role::  raw-html(raw)
    		:format: html
		
	- Centered Log Ratio (clr)
		- ``transform.clr`` for forward transformation S :sup:`D` :raw-html:`&rarr;` R :sup:`D`.
		- ``transform.clrInv`` for inverse transform R :sup:`D` :raw-html:`&rarr;` S :sup:`D`.

	- Isometric Log Ratio (ilr)
		- ``transform.ilr`` for forward transformation S :sup:`D` :raw-html:`&rarr;` R :sup:`D-1`.
		- ``transform.ilrInv`` for inverse transform R :sup:`D-1` :raw-html:`&rarr;` S :sup:`D`.

	- Additive Log Ratio (alr)
		- ``transform.alr`` for forward transform S :sup:`D` :raw-html:`&rarr;` R :sup:`D-1`.
		- ``transform.alrInv`` for inverse transform R :sup:`D-1` :raw-html:`&rarr;` S :sup:`D`.		


