Package: cotram 0.5-2

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://trafo-universe.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:

5.91 score 2 packages 7 scripts 518 downloads 1 exports 26 dependencies

Last updated 6 days agofrom:bf68b8828a. Checks:OK: 5. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 17 2024
R-4.5-winOKOct 17 2024
R-4.5-linuxOKOct 17 2024
R-4.4-winOKOct 17 2024
R-4.4-macOKOct 17 2024

Exports:cotram

Dependencies:alabamabasefunBBcodetoolsconeprojFormulalatticeMASSMatrixmltmultcompmvtnormnloptrnumDerivorthopolynompolynomqrngquadprogRcppRcppArmadillosandwichsurvivalTH.datatramvariableszoo

cotram

Rendered fromcotram.Rnwusingknitr::knitron Oct 17 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Confidence Bandsconfband confband.cotram
Count Transformation Modelscotram
Methods for Count Transformation Modelsas.mlt.cotram logLik.cotram plot.cotram predict.cotram
Bavarian Forest Spider Dataspiders