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: 0.5-2 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: 2024-09-18 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=cotram to link to this page.
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