Package: cotram 0.5-1

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]

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NEWS

# Install 'cotram' in R:
install.packages('cotram', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://r-forge.r-project.org/projects/ctm

Datasets:
  • spiders - Bavarian Forest Spider Data

On CRAN:

2 exports 2.81 score 26 dependencies 2 dependents 6 scripts 387 downloads

Last updated 4 days agofrom:2e487b9312. Checks:OK: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winOKSep 04 2024
R-4.5-linuxOKSep 04 2024
R-4.4-winOKSep 04 2024
R-4.4-macOKSep 04 2024

Exports:cotrammcotram

Dependencies:alabamabasefunBBcodetoolsconeprojFormulalatticeMASSMatrixmltmultcompmvtnormnloptrnumDerivorthopolynompolynomqrngquadprogRcppRcppArmadillosandwichsurvivalTH.datatramvariableszoo

cotram

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