Installation

MissMecha is available on the Python Package Index (PyPI). You can install it via pip:

pip install missmecha-py

This will install the latest stable release.

Note

This package is MissMecha, a Python package for simulating and evaluating missing data mechanisms. It is not related to the R package MissMech, which provides statistical tests for MCAR and multivariate normality. For details on the R package, see: https://cran.r-project.org/package=MissMech

Install from Source

To install the latest development version from GitHub:

git clone https://github.com/echoid/MissMecha.git
pip install ./MissMecha

Dependencies

MissMecha requires:

• Python 3.8 or above

• numpy

• scikit-learn

• scipy

• matplotlib (optional, for evaluation plots)

You can install all dependencies at once using:

pip install -r requirements.txt

Citation

If you use MissMecha in your research, teaching, or projects, please consider citing:

Zhou, Y. (2025). MissMecha: An All-in-One Python Package for Studying Missing Data Mechanisms. Demo paper. [Conference TBD].

BibTeX:

@misc{zhou2025missmecha,
  author       = {Youran Zhou},
  title        = {MissMecha: An All-in-One Python Package for Studying Missing Data Mechanisms},
  year         = {2025},
  howpublished = {\url{https://pypi.org/project/missmecha-py}},
  note         = {Demo track submission}
}