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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, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Hothorn, 2019, <arxiv:1910.09219>). Multivariate conditional transformation models (<arxiv:1906.03151>) can be fitted as well.

Functions (14)

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Transformation Models

v0.6-0
GPL-2
Authors
Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>), Luisa Barbanti [aut], Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Initial release
2021-03-08

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