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>.

Getting started

Package details

AuthorSandra Siegfried [aut, cre] (<https://orcid.org/0000-0002-7312-1001>), Luisa Barbanti [aut] (<https://orcid.org/0000-0001-5352-5802>), Torsten Hothorn [aut] (<https://orcid.org/0000-0001-8301-0471>)
MaintainerSandra Siegfried <sandra.siegfried@alumni.uzh.ch>
LicenseGPL-2
Version0.5-2
URL http://ctm.R-forge.R-project.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("cotram")

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cotram documentation built on Sept. 18, 2024, 5:07 p.m.