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tram: Transformation Models
Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>). 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 (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) can be fitted as well. The package contains an implementation of a doubly robust score test, described in Kook et al. (2024, <DOI:10.1080/01621459.2024.2395588>).
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Package details |
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| Author | Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>), Luisa Barbanti [aut] (<https://orcid.org/0000-0001-5352-5802>), Sandra Siegfried [aut] (<https://orcid.org/0000-0002-7312-1001>), Lucas Kook [aut] (<https://orcid.org/0000-0002-7546-7356>), Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb] |
| Maintainer | Torsten Hothorn <Torsten.Hothorn@R-project.org> |
| License | GPL-2 |
| Version | 1.2-1 |
| URL | http://ctm.R-forge.R-project.org |
| Package repository | View on CRAN |
| Installation |
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