An extensive package for Compositional Data Analysis (CoDA)
Project description
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
.
-
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