⚠️ This is a work in progress. Visit the existing zoo instead. ⚠️

Distribution Zoo v2 concept

Link to preview the app

This is the repository for a version of the Distribution Zoo, built in Streamlit.

Distributions supported

	Plots	Formulae	LaTeX	Tips	C++	Julia	Mathematica	MATLAB	Python	R	Stan
Continuous Univariate
Beta
Cauchy
Exponential
Gamma	👍
Half-Cauchy
Inverse-Chi-Squared
Inverse-Gamma
Logit-Normal
Log-Normal
Normal	👍	👍	👍	👍	👍				👍
Student-t
Uniform
Discrete Univariate
Bernoulli
Beta-Binomial
Binomial
Discrete-Uniform
Negative-Binomial
Poisson	👍
Multivariate
Dirichlet
Inverse-Wishart
LKJ
Multinomial
Multivariate-Normal
Multivariate-Student-t
Wishart

Testing

The code relating to each distribution is tested:

• to ensure each code block compiles/runs
• to ensure each code from each language is generating the same distribution (i.e. no mis-parameterisations)

Adding a new distribution

As of now, only Continuous Univariate distributions have been added.

• Copy normal.py and the corresponding data directory normal
• Update parameters, and the methods in the distribution: sliders, plot, update_code_substitutions
• Modify the markdown files describing the static content, and code snippets

Testing a new distribution

• Edit tests/utils.py to add an AppTest fixture for the distribution
• Add a method to tests/extract.py, copying test_extract_normal
• Add a method to tests/validate_code_output.py, copying test_validate_normal