piwheels

ggca

Computes efficiently the correlation (Pearson, Spearman or Kendall) and the p-value (two-sided) between all the pairs from two datasets

Installation

In a virtualenv (see these instructions if you need to create one):

pip3 install ggca

Dependencies

• None

Releases

Version	Released	Bullseye Python 3.9	Bookworm Python 3.11	Trixie Python 3.13	Files
1.0.1	2024-09-12
ggca-1.0.1-cp311-cp311-linux_armv6l.whl (1020 KB) ggca-1.0.1-cp311-cp311-linux_armv7l.whl (1020 KB) ggca-1.0.1-cp39-cp39-linux_armv6l.whl (998 KB) ggca-1.0.1-cp39-cp39-linux_armv7l.whl (998 KB)
1.0.0	2024-08-08
ggca-1.0.0-cp39-cp39-linux_armv6l.whl (1007 KB) ggca-1.0.0-cp39-cp39-linux_armv7l.whl (1007 KB) ggca-1.0.0-cp311-cp311-linux_armv6l.whl (1019 KB) ggca-1.0.0-cp311-cp311-linux_armv7l.whl (1019 KB)
0.4.1	2022-03-02
0.4.0	2022-02-23
0.3.0 yanked	2021-06-10
0.1.11 yanked	2021-02-02

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