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. Live demo is here. Descriptions of the distributions are here.
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.
git clone https://github.com/atisor73/bayesian_priors.git
cd bayesian_priors/
python setup.py install # install packageimport bayesian_priors
bayesian_priors.dashboard(description=True)