Transformation Models
Formula-based user-interfaces to specific transformation models
implemented in package 'mlt' (, ).
Available models include Cox models, some parametric
survival models (Weibull, etc.), models for ordered categorical variables,
normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression
(Lohse et al., 2017, ). The underlying theory
is described in Hothorn et al. (2018) . An extension to
transformation models for clustered data is provided (Barbanti and Hothorn, 2022,
) and a tutorial explains applications in survival analysis
(Siegfried et al., 2025, ). Multivariate conditional transformation models
(Klein et al, 2022, ) and shift-scale transformation models (Siegfried et al, 2023,
) can be fitted as well. The package contains an implementation of
a doubly robust score test, described in Kook et al. (2024, ).