Multivariate Conditional Transformation Models

New paper introduces novel multivariate conditional transformation models, where the marginal distributions can be understood as univariate transformation models. The joint distribution is characterised by a Gaussian copula, which also allows covariate-dependent correlations to be modelled.

Some forms of these models can be estimated by the mmlt() function in package tram.