[aut, cre]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>.
| Version: | 0.2-0 |
| Depends: | tram (≥ 0.2-6), mlt (≥ 1.0-5) |
| Imports: | variables (≥ 1.0-2), basefun (≥ 1.0-5) |
| Suggests: | TH.data, knitr, lattice, colorspace, multcomp |
| Published: | 2020-03-30 |
| Author: | Sandra Siegfried [aut],
Torsten Hothorn
[aut, cre] |
| Maintainer: | Torsten Hothorn <Torsten.Hothorn at R-project.org> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | cotram citation info |
| Materials: | NEWS |
| CRAN checks: | cotram results |
| Reference manual: | cotram.pdf |
| Vignettes: |
cotram |
| Package source: | cotram_0.2-0.tar.gz |
| Windows binaries: | r-devel: cotram_0.2-0.zip, r-release: cotram_0.2-0.zip, r-oldrel: cotram_0.2-0.zip |
| macOS binaries: | r-release: cotram_0.2-0.tgz, r-oldrel: cotram_0.2-0.tgz |
| Old sources: | cotram archive |
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