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: 0.4-4
Depends: R (≥ 3.5.0), tram (≥ 0.8-0), mlt (≥ 1.2-1)
Imports: variables (≥ 1.0-2), basefun (≥ 1.0-5), alabama, Matrix, methods, survival, utils
Suggests:, knitr, lattice, colorspace, multcomp, mvtnorm, numDeriv
Published: 2023-05-25
DOI: 10.32614/CRAN.package.cotram
Author: Sandra Siegfried ORCID iD [aut, cre], Luisa Barbanti ORCID iD [aut], Torsten Hothorn ORCID iD [aut]
Maintainer: Sandra Siegfried <sandra.siegfried at>
License: GPL-2
NeedsCompilation: no
Citation: cotram citation info
Materials: NEWS
CRAN checks: cotram results


Reference manual: cotram.pdf
Vignettes: cotram


Package source: cotram_0.4-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cotram_0.4-4.tgz, r-oldrel (arm64): cotram_0.4-4.tgz, r-release (x86_64): cotram_0.4-4.tgz, r-oldrel (x86_64): cotram_0.4-4.tgz
Old sources: cotram archive

Reverse dependencies:

Reverse imports: tramicp, tramvs
Reverse suggests: deeptrafo


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