stats-misc 0.3.5

Statistical functions not included by canonical Python analytical packages.

A collection of statistical functions

version: 0.3.5

This repository offers a collection of Python-based statistical modules, encompassing hypothesis testing, interval estimation, resampling methods, regression techniques (including Firth’s logistic regression), and selected machine learning utilities.

The documentation for stats-misc can be found here.

Installation

At present, this package is undergoing development and no packages exist yet on PyPI. Therefore it is recommended that you install in either of the two ways below.

Installation using conda

I maintain a conda package in my personal conda channel. To install from this please run:

conda install afschmidt::stats-misc

Installation using pip

You can install using pip from the root of the cloned repository, first clone and cd into the repository root:

git clone [e-mail]:SchmidtAF/stats-misc.git
cd stat-misc

Install the dependencies:

# From the root of the repository
conda env create --file ./resources/conda/envs/conda_create.yaml

To add to an existing environment use:

# From the root of the repository
conda env update --file ./resources/conda/envs/conda_create.yaml

Next the package can be installed:

python -m pip install .

Or for an editable (developer) install run the command below from the root of the repository. The difference with this is that you can just to a git pull to update repository, or switch branches without re-installing:

python -m pip install -e .

Installation not using any conda dependencies

If you are not using conda in any way then install the dependencies via pip and install repository as an editable install also via pip:

Install dependencies:

python -m pip install --upgrade -r requirements.txt

Then to install repository you can either do:

python -m pip install .

Or for an editable (developer) install run the command below from the root of the repository. The difference with this is that you can just to a git pull to update repository, or switch branches without re-installing:

python -m pip install -e .

Next steps...

After installation, you may wish to run the included test suite with pytest to verify that the package is functioning as expected.

# From the root of the repository
pytest tests

Usage

Please have a look at the examples in resources .