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: | 0.5-3 | 
| Depends: | R (≥ 3.5.0), tram (≥ 1.0-0), mlt (≥ 1.4-7) | 
| Imports: | variables (≥ 1.0-2), basefun (≥ 1.0-5), alabama, Matrix, methods, survival, utils, qrng | 
| Suggests: | TH.data, knitr, lattice, colorspace, multcomp, mvtnorm, numDeriv | 
| Published: | 2025-10-08 | 
| 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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