RankAggreg

R package RankAggreg: Weighted rank aggregation. This package performs aggregation of ordered lists based on the ranks using several different algorithms: Borda count, Cross-Entropy Monte Carlo algorithm, Genetic algorithm, and a brute force algorithm (for small problems)

Keywords for this software

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References in zbMATH (referenced in 7 articles )

Showing results 1 to 7 of 7.
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  1. Abdulrahman, Salisu Mamman; Brazdil, Pavel; van Rijn, Jan N.; Vanschoren, Joaquin: Speeding up algorithm selection using average ranking and active testing by introducing runtime (2018)
  2. Ding, Jiankun; Han, Deqiang; Yang, Yi: Iterative ranking aggregation using quality improvement of subgroup ranking (2018)
  3. Vitelli, Valeria; Sørensen, Øystein; Crispino, Marta; Frigessi, Arnoldo; Arjas, Elja: Probabilistic preference learning with the Mallows rank model (2018)
  4. Shah, Jasmit; Datta, Somnath; Datta, Susmita: A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics (2014)
  5. Rybiński, Mikołaj; Gambin, Anna: Model-based selection of the robust JAK-STAT activation mechanism (2012)
  6. Zack, Laurie; Lamb, Ron; Ball, Sarah: An application of Google’s PageRank to NFL rankings (2012)
  7. Pihur, Vasyl; Datta, Susmita; Datta, Somnath: Rankaggreg, an R package for weighted rank aggregation (2009) ioport