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.
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Release files for bayesian-priors 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| bayesian_priors-0.0.1.tar.gz | 15.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bayesian_priors-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 41.2 kB
Release files / bayesian_priors-0.0.1.tar.gz
| Download URL | bayesian_priors-0.0.1.tar.gz |
|---|---|
| Size | 15.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10
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Release files / bayesian_priors-0.0.1-py3-none-any.whl
| Download URL | bayesian_priors-0.0.1-py3-none-any.whl |
|---|---|
| Size | 25.7 kB |
| Tags | Python 3 |
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| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10
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