Metadata-Version: 2.4
Name: bayesnest
Version: 0.1.2
Summary: Lightweight log-space nested sampling for Bayesian inference
Author-email: Wahidur Rahman <rahmanw@email.com>
Project-URL: Homepage, https://github.com/Wahidur-Rahman/BayesNest
Project-URL: Bug Tracker, https://github.com/Wahidur-Rahman/BayesNest/issues
Keywords: bayesian,nested,sampling,inference,posterior,likelihood
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: corner
Requires-Dist: scikit-learn

General-purpose log-space nested sampler for Bayesian inference which uses naive rejection sampling.

After installing you should be able to run the simple linear gaussian model example in `examples/example.py` which generates a two dimensional corner plot of the posterior distribution of the two linear coefficient parameters `a` and `b` and prints out the calculated log evidence
