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 Hothorn et al. (2018) <doi:10.1111/sjos.12291>.

Version: 0.1-1
Depends: tram (≥ 0.2-6), mlt (≥ 1.0-5)
Imports: variables (≥ 1.0-2), basefun (≥ 1.0-5)
Suggests: TH.data, knitr, lattice, colorspace
Published: 2019-10-02
Author: Sandra Siegfried [aut], Torsten Hothorn ORCID iD [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn at R-project.org>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: cotram results

Downloads:

Reference manual: cotram.pdf
Vignettes: cotram
Package source: cotram_0.1-1.tar.gz
Windows binaries: r-devel: cotram_0.1-1.zip, r-devel-gcc8: cotram_0.1-1.zip, r-release: cotram_0.1-1.zip, r-oldrel: cotram_0.1-1.zip
OS X binaries: r-release: cotram_0.1-1.tgz, r-oldrel: cotram_0.1-1.tgz
Old sources: cotram archive

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