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 
[aut, cre],
Luisa Barbanti
[aut],
Torsten Hothorn
[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:
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