Metadata-Version: 1.1
Name: bayesian-priors
Version: 0.0.1
Summary: Bayesian-priors is a package for visualizing prior distributions in the context of bayesian inference.
Home-page: UNKNOWN
Author: Rosita Fu
Author-email: rosita.fu99@gmail.com
License: MIT
Description: Bayesian-priors is a package for visualizing prior distributions in the context of bayesian inference. The following continuous distributions are supported: normal, student-t, exponential, gamma, inverse gamma, weibull, pareto, gumbel, log-normal, cauchy, beta. In the dashboard, user inputs their desired lower and upper bounds, along with the % mass in-between. The dashboard will then display a set of  parameters that generates such distribution.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
