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 <arXiv:2201.13095>.
|Author||Sandra 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>)|
|Maintainer||Sandra Siegfried <email@example.com>|
|Package repository||View on CRAN|
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