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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 <arXiv:2201.13095>.
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Package details |
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| Author | Sandra Siegfried [aut, cre] (<https://orcid.org/0000-0002-7312-1001>), Luisa Barbanti [aut] (<https://orcid.org/0000-0001-5352-5802>), Torsten Hothorn [aut] (<https://orcid.org/0000-0001-8301-0471>) |
| Maintainer | Sandra Siegfried <cotram.package@gmail.com> |
| License | GPL-2 |
| Version | 0.5-0 |
| URL | http://ctm.R-forge.R-project.org |
| Package repository | View on R-Forge |
| Installation |
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