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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: 0.5-2
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 ORCID iD [aut, cre], Luisa Barbanti ORCID iD [aut], Torsten Hothorn ORCID iD [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:

Reference manual: cotram.pdf
Vignettes: cotram (source, R code)

Downloads:

Package source: cotram_0.5-2.tar.gz
Windows binaries: r-devel: cotram_0.5-2.zip, r-release: cotram_0.5-2.zip, r-oldrel: cotram_0.5-2.zip
macOS binaries: r-release (arm64): cotram_0.5-2.tgz, r-oldrel (arm64): cotram_0.5-2.tgz, r-release (x86_64): cotram_0.5-2.tgz, r-oldrel (x86_64): cotram_0.5-2.tgz
Old sources: cotram archive

Reverse dependencies:

Reverse imports: tramicp, tramvs
Reverse suggests: deeptrafo

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cotram to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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