A simple Python package for working with Gaussian Copulas
Project description
Copula
Copula is a Python library that helps you to create simple simulated sets of copulas
Features
- denisty function of a gaussian copula given two data sets
- generate samples from a copula, given an empirical cdf
the functions you have access too are:
- copula_density(u, R)
- get the density function of the copula
- u: multivatiate time series
- copula_likelihood(R_f, u)
- likleyhood function that gives back the likihood function -> used for get_cov
- get_cov(u_ecdf)
- get back the cov matrix, which was fit with the ML estimation and an optimizer from the scipy package
- needs an empirical cdf as input
- sampling_gaussian_copula(R, n_samples)
- get n samples from a gaussian copula, given a cov matrix (get the cov with the get_cov function)
Installation
Install via pip:
pip install MyAwesomePackage
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