Medium-sized Bayesian Analysis Generator
Project description
Bibat is a Python package that wraps a cookiecutter template for Bayesian statistical analyses.
It aims to make it easier for authors of statistical analyses to follow best practices from both software development and statistics, and to be flexible enough that any analysis can be implemented - even ones involving many complex data processing options and statistical models.
Bibat is “batteries-included” in the sense that the template provides a complete statistical analysis that you can run immediately.
Documentation
Check out bibat’s documentation at https://bibat.readthedocs.io.
In particular, you may find it useful to have a look at some projects that have previously used bibat.
Quick Start
You can try out bibat like this:
$ pip install bibat
$ bibat
After following the wizard’s instructions, you should now have a new directory implementing a simple statistical analysis. To try it out, run the following command from the root of the new directory:
$ make analysis
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for bibat-0.0.5-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 253497e51b2ac14e74b2f88c70a511c38f3e918b4a8f007a0e2e3dff43cfc2b9 |
|
MD5 | 7798bfcb22c5753771a1e95272baa093 |
|
BLAKE2b-256 | 252263e2e39a3a5cafb83804c396efc9dc97a616e6678101daf44ca0465aac61 |