Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

DOC: update of readthedocs config yaml #86

Merged
merged 1 commit into from
Jan 10, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
19 changes: 14 additions & 5 deletions .readthedocs.yml
Original file line number Diff line number Diff line change
@@ -1,10 +1,19 @@
# See: https://docs.readthedocs.io/en/latest/yaml-config.html
# Read the Docs configuration file
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
# .readthedocs.yml

# Required
version: 2

# Set the version of Python
build:
image: latest
os: ubuntu-22.04
tools:
python: "3.10"

python:
version: 3.6
setup_py_install: true

install:
- method: pip
path: .
extra_requirements:
- doc
2 changes: 1 addition & 1 deletion README.rst
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ Phi_K Correlation Constant

Phi_K is a practical correlation constant that works consistently between categorical, ordinal and interval variables.
It is based on several refinements to Pearson's hypothesis test of independence of two variables. Essentially, the
contingency test statistic of two variables is interpreted as coming from a rotated bi-variate normal distribution,
contingency test statistic of two variables is interpreted as if coming from a rotated bi-variate normal distribution,
where the tilt is interpreted as Phi_K.

The combined features of Phi_K form an advantage over existing coefficients. First, it works consistently between categorical, ordinal and interval variables.
Expand Down
Loading