composition-stats

compositional data analysis

These details have not been verified by PyPI

Project description

Python module for compositional data analysis. Install with pip:

pip install composition_stats

The following functions are provided:

closure	Performs closure to ensure that all elements add up to 1.
multiplicative_replacement	Replace all zeros with small non-zero alues
perturb	Performs the perturbation operation.
perturb_inv	Performs the inverse perturbation operation.
power	Performs the power operation.
inner	Calculates the Aitchson inner product.
clr	Performs centre log ratio transformation.
clr_inv	Performs inverse centre log ratio transformation.
ilr	Performs isometric log ratio transformation.
ilr_inv	Performs inverse isometric log ratio transform.
alr	Performs additive log ratio transformation.
alr_inv	Performs inverse additive log ratio transform.
center	Computes the geometric average of data.
centralize	Center data around its geometric average.
sbp_basis	Builds an orthogonal basis from a sequential binary partition (SBP).

Please see the documentation for details and a complete function reference.

This is a fork of the essential compositional data functions of the skbio.stats.composition module from scikit-bio.

These details have not been verified by PyPI

2.0.0

Oct 10, 2021

This version

1.1.0

Mar 8, 2021

1.0.0rc1 pre-release

Feb 24, 2021

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Mar 8, 2021 Source

Details for the file composition_stats-1.1.0.tar.gz.

Download URL: composition_stats-1.1.0.tar.gz
Upload date: Mar 8, 2021
Size: 17.6 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

Hashes for composition_stats-1.1.0.tar.gz
Algorithm	Hash digest
SHA256	`1e8c031762438e2816f21c467e3fd88f9addfeb5ad71ee8ae16cda8758e31c12`
MD5	`2d8e4ab7e8dd5a316a85291a3d657246`
BLAKE2b-256	`e5f9e826b1eda475f2811c03dc5a7ae2f74dbeabeea1293480935c2919361c34`