An extensive package for Compositional Data Analysis (CoDA)

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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:→ 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.

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This version

1.0.3

1.0.2

1.0.1

1.0.0

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