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 Hothorn et al. (2018) <doi:10.1111/sjos.12291>.
Version: | 0.1-1 |
Depends: | tram (≥ 0.2-6), mlt (≥ 1.0-5) |
Imports: | variables (≥ 1.0-2), basefun (≥ 1.0-5) |
Suggests: | TH.data, knitr, lattice, colorspace |
Published: | 2019-10-02 |
Author: | Sandra Siegfried [aut],
Torsten Hothorn |
Maintainer: | Torsten Hothorn <Torsten.Hothorn at R-project.org> |
License: | GPL-2 |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | cotram results |
Reference manual: | cotram.pdf |
Vignettes: |
cotram |
Package source: | cotram_0.1-1.tar.gz |
Windows binaries: | r-devel: cotram_0.1-1.zip, r-devel-gcc8: cotram_0.1-1.zip, r-release: cotram_0.1-1.zip, r-oldrel: cotram_0.1-1.zip |
OS X binaries: | r-release: cotram_0.1-1.tgz, r-oldrel: cotram_0.1-1.tgz |
Old sources: | cotram archive |
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