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>.

Version: 0.2-0
Depends: tram (≥ 0.2-6), mlt (≥ 1.0-5)
Imports: variables (≥ 1.0-2), basefun (≥ 1.0-5)
Suggests:, knitr, lattice, colorspace, multcomp
Published: 2020-03-30
Author: Sandra Siegfried [aut], Torsten Hothorn ORCID iD [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn 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_0.2-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: cotram_0.2-0.tgz, r-oldrel: cotram_0.2-0.tgz
Old sources: cotram archive


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