Multivariate Conditional Transformation Models

New Paper Online

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.