Metadata-Version: 2.1
Name: copulabayesnet
Version: 0.1.5
Summary: Test different copulas and use multivariate Gaussian copulas
Home-page: https://github.com/SjoerdGn/copulabayesnet
Author: Sjoerd Gnodde
Author-email: 
License: MIT
Keywords: Copulas,Bayesian Networks,Multivariate normal
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.16.0)
Requires-Dist: pycopula
Requires-Dist: scipy
Requires-Dist: statsmodels
Requires-Dist: matplotlib
Requires-Dist: scikit-gof
Requires-Dist: hydroeval
Requires-Dist: easygui
Requires-Dist: msmb-theme
Requires-Dist: sphinx-rtd-theme


# copulabayesnet

* Load data
* Test Copulas
* Predict from multivariate normal copulas
* Generate several useful plots

## Documentation

[Online documentation](https://copulabayesnet.readthedocs.io/en/latest/ "ReadTheDocs copulabayesnet")

## Installation
Install basic

`pip install copulabayesnet`

If you are looking for latest updates, consider installation directly from sources.

```
git clone https://github.com/SjoerdGn/copulabayesnet.git
cd copulabayesnet
python setup.py install
```

## Functionalities


-- make table here


## Gaussian copula

![Gaussian copula](https://latex.codecogs.com/gif.latex?c_R%5E%7B%5Ctext%7BGa%7D%7D%28u%29%20%3D%20%5Cfrac%7B1%7D%7B%5Csqrt%7B%7C%7BR%7D%7C%7D%7D%5Cexp%5Cleft%28-%5Cfrac%7B1%7D%7B2%7D%20%5Cbegin%7Bpmatrix%7D%5CPhi%5E%7B-1%7D%28u_1%29%5C%5C%20%5Cvdots%20%5C%5C%20%5CPhi%5E%7B-1%7D%28u_d%29%5Cend%7Bpmatrix%7D%5ET%20%5Ccdot%20%5Cleft%28R%5E%7B-1%7D-I%5Cright%29%20%5Ccdot%20%5Cbegin%7Bpmatrix%7D%5CPhi%5E%7B-1%7D%28u_1%29%5C%5C%20%5Cvdots%20%5C%5C%20%5CPhi%5E%7B-1%7D%28u_d%29%5Cend%7Bpmatrix%7D%20%5Cright%29%2C)


