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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>.

README

This folder contains replication material for the empirical results presented
in Section 3 of "Count Transformation Models" (https://doi.org/10.1111/2041-210X.13383). 

To reproduce the results, run
  
  R CMD BATCH SIM_countDGP.R

  R CMD BATCH Ex_DVC.R

in either sub-folder (after installing the "cotram" R add-on package).

Versions across snapshots

VersionRepositoryFileSize
0.6-0 rolling linux/jammy R-4.5 cotram_0.6-0.tar.gz 181.7 KiB
0.6-0 rolling linux/noble R-4.5 cotram_0.6-0.tar.gz 181.6 KiB
0.6-0 rolling source/ R- cotram_0.6-0.tar.gz 170.5 KiB
0.6-0 latest linux/jammy R-4.5 cotram_0.6-0.tar.gz 181.7 KiB
0.6-0 latest linux/noble R-4.5 cotram_0.6-0.tar.gz 181.6 KiB
0.6-0 latest source/ R- cotram_0.6-0.tar.gz 170.5 KiB
0.6-0 2026-04-26 source/ R- cotram_0.6-0.tar.gz 170.5 KiB
0.6-0 2026-04-23 source/ R- cotram_0.6-0.tar.gz 170.5 KiB
0.6-0 2026-04-09 windows/windows R-4.5 cotram_0.6-0.zip 186.6 KiB
0.5-2 2025-04-20 source/ R- cotram_0.5-2.tar.gz 165.4 KiB

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