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  • Overview
  • Installing Copulas
    • Requirements
    • Install with pip
    • Install with conda
    • Install from source
    • Install for development
  • Quickstart
    • 1. Load the data
    • 2. Create a Copula instance
    • 3. Fit the model
    • 4. Sample new data
    • 5. Load and save a model
    • 6. Extract and set parameters

User Guides

  • Introduction to Copulas
    • Probability Review
      • Probability Density Function
      • Cumulative Distribution Function
      • Probability Integral Transform
    • Copulas
  • Univariate Distributions
    • Univariate Usage Example
      • Fitting the model
      • Sampling new data
      • Probability Density
      • Cumulative Distribution
      • to_dict and from_dict
    • Selecting the best Univariate
      • Fitting a generic Univariate
      • Recreating the Univariate
      • Univariate Families
  • Multivariate Distributions
    • Gaussian Multivariate
      • Fitting a Model and Generating Synthetic Data
      • Specifying column distributions
      • Probability Density and Cumulative Distribution
      • to_dict and from_dict
    • Vine Copulas

Advanced Usage

  • Synthetic Data for Machine Learning
    • Loading the dataset
    • Generating synthetic data
    • Training a linear model

Resources

  • API Reference
    • copulas.bivariate package
      • copulas.bivariate.base module
      • copulas.bivariate.clayton module
      • copulas.bivariate.frank module
      • copulas.bivariate.gumbel module
      • copulas.bivariate.independence module
      • copulas.bivariate.utils module
    • copulas.multivariate package
      • copulas.multivariate.base module
      • copulas.multivariate.gaussian module
      • copulas.multivariate.tree module
      • copulas.multivariate.vine module
    • copulas.optimize package
    • copulas.univariate package
      • copulas.univariate.base module
      • copulas.univariate.beta module
      • copulas.univariate.gamma module
      • copulas.univariate.gaussian module
      • copulas.univariate.gaussian_kde module
      • copulas.univariate.log_laplace module
      • copulas.univariate.selection module
      • copulas.univariate.student_t module
      • copulas.univariate.truncated_gaussian module
      • copulas.univariate.uniform module
    • copulas.datasets module
    • copulas.visualization module
  • Contributing
  • History
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