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Count Transformation Models

Installation

About

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 .

Citation cotram citation info
ctm.R-forge.R-project.org

Key Metrics

Version 0.4-4
R ≥ 3.5.0
Published 2023-05-25 337 days ago
Needs compilation? no
License GPL-2
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Maintainer

Maintainer

Sandra Siegfried

sandra.siegfried@uzh.ch

Authors

Sandra Siegfried

aut / cre

Luisa Barbanti

aut

Torsten Hothorn

aut

Material

NEWS
Reference manual
Package source

Vignettes

cotram

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

cotram archive

Depends

R ≥ 3.5.0
tram ≥ 0.8-0
mlt ≥ 1.2-1

Imports

variables ≥ 1.0-2
basefun ≥ 1.0-5
alabama
Matrix
methods
survival
utils

Suggests

TH.data
knitr
lattice
colorspace
multcomp
mvtnorm
numDeriv

Reverse Imports

tramvs

Reverse Suggests

deeptrafo