ordinalgmifs

ordinalgmifs: Ordinal Regression for High-dimensional Data. This package provides a function for fitting cumulative link, adjacent category, forward and backward continuation ratio, and stereotype ordinal response models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.

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References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
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  1. Ejike R. Ugba: serp: An R package for smoothing in ordinal regression (2021) not zbMATH
  2. Michael J. Wurm, Paul J. Rathouz, Bret M. Hanlon: Regularized Ordinal Regression and the ordinalNet R Package (2021) not zbMATH
  3. Fernández, Daniel; Liu, Ivy; Costilla, Roy; Gu, Peter Yongqi: Assigning scores for ordered categorical responses (2020)
  4. Rainer Hirk, Kurt Hornik, Laura Vana: mvord: An R Package for Fitting Multivariate Ordinal Regression Models (2020) not zbMATH
  5. Michael J. Wurm, Paul J. Rathouz, Bret M. Hanlon: Regularized Ordinal Regression and the ordinalNet R Package (2017) arXiv
  6. Leha, Andreas: Statistical methods to enhance clinical prediction with high-dimensional data and ordinal response (2015)