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.

Version: 0.3-1
Depends: R (≥ 3.5.0), tram (≥ 0.2-6), mlt (≥ 1.2-1)
Imports: variables (≥ 1.0-2), basefun (≥ 1.0-5), alabama, Matrix, methods
Suggests: TH.data, knitr, lattice, colorspace, multcomp, mvtnorm, numDeriv
Published: 2021-10-08
Author: Sandra Siegfried ORCID iD [aut], Luisa Barbanti ORCID iD [aut], Torsten Hothorn ORCID iD [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn at R-project.org>
License: GPL-2
URL: http://ctm.R-forge.R-project.org
NeedsCompilation: no
Citation: cotram citation info
Materials: NEWS
CRAN checks: cotram results

Downloads:

Reference manual: cotram.pdf
Vignettes: cotram
Package source: cotram_0.3-1.tar.gz
Windows binaries: r-devel: not available, r-release: cotram_0.3-1.zip, r-oldrel: cotram_0.3-0.zip
macOS binaries: r-release (arm64): cotram_0.3-0.tgz, r-release (x86_64): cotram_0.3-1.tgz, r-oldrel: cotram_0.3-1.tgz
Old sources: cotram archive

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