Metadata-Version: 2.4
Name: stats-misc
Version: 0.3.7
Summary: Statistical functions not included by canonical Python analytical packages.
Author-email: Amand Floriaan Schmidt <floriaanschmidt@gmail.com>
License-Expression: GPL-3.0-or-later
Project-URL: Homepage, https://gitlab.com/SchmidtAF/stats-misc
Project-URL: Documentation, https://SchmidtAF.gitlab.io/stats-misc/
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: <3.13,>=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
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Dynamic: license-file

# A collection of statistical functions
__version__: `0.3.7`

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](https://SchmidtAF.gitlab.io/stats-misc/). 


## Installation 
The package is available on PyPI, and conda, with the latest source code 
available on gitlab. 

### Installation using PyPI

To install the package from PyPI, run:

```bash
pip install stats-misc
```

This installs the latest stable release along with its dependencies.

### Installation using conda

A Conda package is maintained in my personal Conda channel.
To install from this channel, run:

```
conda install afschmidt::stats-misc
```

### Installation using gitlab

If you require the latest updates, potentially not yet formally released,
you can install the package directly from GitLab.

First, clone the repository and move into its root directory:

```sh
git clone git@gitlab.com:SchmidtAF/stats-misc.git
cd stat-misc
```

Install the dependencies:

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

To add to an existing environment use:

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

Next the package can be installed: 

```bash
make install
```

#### Development
For development work, install the package in editable mode with Git commit 
hooks configured:

```bash
make install-dev
```
This command installs the package in editable mode and configures Git commit 
hooks, allowing you to run `git pull` to update the repository or switch 
branches without reinstalling.

Alternatively, you can install manually:
```bash
python -m pip install -e .
python .setup_git_hooks.py
```

#### Git Hooks Configuration

When setting up a development environment, the `setup-hooks` command 
configures Git hooks to enforce conventional commit message formatting and 
spell check using `codespell`.

To view the commit message format requirements, run:

```bash
./.githooks/commit-msg -help
```

For frequent use, add this function to your shell configuration (`~/.bashrc` 
or `~/.zshrc`):

```bash
commit-format-help() {
    local git_root
    git_root=$(git rev-parse --show-toplevel 2>/dev/null)
    
    if [ -z "$git_root" ]; then
        echo "Error: Not inside a git repository"
        return 1
    fi
    
    local hook_path="$git_root/.githooks/commit-msg"
    
    if [ ! -f "$hook_path" ]; then
        echo "Error: commit-msg hook not found"
        return 1
    fi
    
    "$hook_path" --help
}
```

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

```sh
# From the root of the repository
pytest tests
```

## Usage

Please have a look at the examples in 
[resources](https://gitlab.com/SchmidtAF/stat-misc/-/tree/master/resources/examples)
.

