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cotram.Rnwusingknitr::knitrCount 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>.
Authors:Sandra Siegfried [aut, cre], Luisa Barbanti [aut], Torsten Hothorn [aut]
cotram_0.6-0.tar.gz
cotram_0.6-0.zip(r-4.7-any)cotram_0.6-0.zip(r-4.6-any)cotram_0.6-0.zip(r-4.5-any)
cotram_0.6-0.tgz(r-4.6-any)cotram_0.6-0.tgz(r-4.5-any)
cotram_0.6-0.tar.gz(r-4.7-any)cotram_0.6-0.tar.gz(r-4.6-any)
cotram_0.6-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cotram/json (API)
| # Install 'cotram' in R: |
| install.packages('cotram', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/ctm
5.68 score 2 packages 8 scripts 665 downloads 2 exports 32 dependencies
Last updated from:6cd3bd0ce8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 217 | ||
| source / vignettes | OK | 288 | ||
| linux-release | OK | 222 | ||
| macos-release | OK | 110 | ||
| macos-oldrel | OK | 132 | ||
| windows-devel | OK | 101 | ||
| windows-release | OK | 116 | ||
| windows-oldrel | OK | 106 | ||
| wasm-release | OK | 130 |
Dependencies:alabamabasefunBBcodacodetoolsconeprojforeachFormulaicenRegiteratorslatticeMASSMatrixMLEcensmltmultcompmvtnormnloptrnumDerivorthopolynompolynomqrngquadprogRcppRcppArmadilloRcppEigensandwichsurvivalTH.datatramvariableszoo
| Help page | Topics |
|---|---|
| Confidence Bands | confband confband.cotram |
| Count Transformation Models | cotram |
| Methods for Count Transformation Models | as.mlt.cotram logLik.cotram plot.cotram predict.cotram |
| Multivariate Count Conditional Transformation Models | mcotram |
| Bavarian Forest Spider Data | spiders |