cotram: Count Transformation Models
Count transformation models featuring parameters interpretable as discrete hazard ratios, odds ratios, reverse-time discrete hazard ratios, or transformed expectations. An appropriate data transformation for a count outcome and regression coefficients are simultaneously estimated by maximising the exact discrete log-likelihood using the computational framework provided in package 'mlt', technical details are given in Siegfried & Hothorn (2020) <doi:10.1111/2041-210X.13383>. The package also contains an experimental implementation of multivariate count transformation models with an application to multi-species distribution models <doi:10.48550/arXiv.2201.13095>.
| Version: | 0.6-0 |
| Depends: | R (≥ 3.5.0),tram (≥ 1.3-0),mlt (≥ 1.7-0) |
| Imports: | variables (≥ 1.0-2),basefun (≥ 1.0-5),survival, utils,qrng |
| Suggests: | TH.data,knitr,lattice,colorspace,multcomp,mvtnorm,numDeriv,viridis,Hmsc |
| Published: | 2025-11-19 |
| DOI: | 10.32614/CRAN.package.cotram |
| Author: | Sandra Siegfried [aut, cre], Luisa Barbanti [aut], Torsten Hothorn [aut] |
| Maintainer: | Sandra Siegfried <sandra.siegfried at alumni.uzh.ch> |
| License: | GPL-2 |
| URL: | http://ctm.R-forge.R-project.org |
| NeedsCompilation: | no |
| Citation: | cotram citation info |
| Materials: | NEWS |
| CRAN checks: | cotram results |
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