Package: cotram 0.6-0

Sandra Siegfried

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>.

Authors:Sandra Siegfried [aut, cre], Luisa Barbanti [aut], Torsten Hothorn [aut]

cotram_0.6-0.tar.gz
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cotram_0.6-0.tgz(r-4.6-any)cotram_0.6-0.tgz(r-4.5-any)
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cotram_0.6-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
cotram/json (API)
NEWS

# 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

Datasets:
  • spiders - Bavarian Forest Spider Data

On CRAN:

Conda:

6.16 score 2 packages 6 scripts 2.4k downloads 2 exports 32 dependencies

Last updated from:6cd3bd0ce8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK169
source / vignettesOK325
linux-release-x86_64OK166
macos-release-arm64OK106
macos-oldrel-arm64OK114
windows-develOK158
windows-releaseOK181
windows-oldrelOK171
wasm-releaseOK125

Exports:cotrammcotram

Dependencies:alabamabasefunBBcodacodetoolsconeprojforeachFormulaicenRegiteratorslatticeMASSMatrixMLEcensmltmultcompmvtnormnloptrnumDerivorthopolynompolynomqrngquadprogRcppRcppArmadilloRcppEigensandwichsurvivalTH.datatramvariableszoo

cotram

Rendered fromcotram.Rnwusingknitr::knitron May 22 2026.

Last update: 2024-07-10
Started: 2020-03-30