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) . The package also contains an experimental implementation of multivariate count transformation models with an application to multi-species distribution models.


Reference manual

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0.3-1 by Torsten Hothorn, 2 months ago

Browse source code at

Authors: Sandra Siegfried [aut] , Luisa Barbanti [aut] , Torsten Hothorn [aut, cre]

Documentation:   PDF Manual  

GPL-2 license

Imports variables, basefun, alabama, Matrix, methods

Depends on tram, mlt

Suggests, knitr, lattice, colorspace, multcomp, mvtnorm, numDeriv

See at CRAN