Vine regression

Toolset copula_regression: 1 tool.

Tool	What it does	Notes
`copula_vine_regression`	Vine copula regression: fits kernel margins and a vine copula over the target and feature assets, then predicts the target’s conditional mean and conditional quantiles at given feature values, capturing nonlinear and tail-dependent relations (e.g. a stock’s 5% quantile when the market falls 3%, CoVaR-style).

Inputs, limits and outputs are described in Fincept Copula. Full schemas: fincept_describe_tool.