Stats-misc

stats-misc provides a diverse collection of statistical functions spanning straightforward hypothesis testing, interval estimation, to more computationally intensive resampling, as well as functionality for prediction model evaluations.

The module focuses on statistical estimation and for the most part expect the user to have performed relevant data cleaning and/or pre-processing.

Installation

To install the package from PyPI, run:

pip install stats-misc

or instead using conda:

conda install afschmidt::stats-misc

Documentation

Quickstart

• A collection of statistical tests
• Firth’s Penalised Logistic Regression
• Interval estimation Methods
• Meta-analysis and heterogeneity methods
• Prediction model validation
• Resampling methods
• Survival Model Evaluation Methods
• Utility functions

Programmer reference

• Stats-misc API

Project admin

• Contributing to the project
• Design Philosophy
• Raising issues

Indices and tables

• Index

• Module Index

• Search Page