Rglpk

R package Rglpk: R/GNU Linear Programming Kit Interface. R interface to the GNU Linear Programming Kit. GLPK is open source software for solving large-scale linear programming (LP), mixed integer linear programming (MILP) and other related problems.

Keywords for this software

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References in zbMATH (referenced in 11 articles )

Showing results 1 to 11 of 11.
Sorted by year (citations)

  1. He, Yizeng; Kim, Soyoung; Kim, Mi-Ok; Saber, Wael; Ahn, Kwang Woo: Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection (2021)
  2. Brantley, Halley L.; Guinness, Joseph; Chi, Eric C.: Baseline drift estimation for air quality data using quantile trend filtering (2020)
  3. Liu, Xiaohui; Mosler, Karl; Mozharovskyi, Pavlo: Fast computation of Tukey trimmed regions and median in dimension (p > 2) (2019)
  4. Øystein Sørensen: hdme: High-Dimensional Regression with Measurement Error (2019) not zbMATH
  5. Sørensen, Øystein; Hellton, Kristoffer Herland; Frigessi, Arnoldo; Thoresen, Magne: Covariate selection in high-dimensional generalized linear models with measurement error (2018)
  6. Abdelaati Daouia and Thibault Laurent and Hohsuk Noh: npbr: A Package for Nonparametric Boundary Regression in R (2017) not zbMATH
  7. Cervantes, Víctor H.; Dzhafarov, Ehtibar N.: Advanced analysis of quantum contextuality in a psychophysical double-detection experiment (2017)
  8. Härdle, Karl Wolfgang; Okhrin, Ostap; Okhrin, Yarema: Basic elements of computational statistics (2017)
  9. Kadziński, Miłosz; Ghaderi, Mohammad; Wąsikowski, Jakub; Agell, Núria: Expressiveness and robustness measures for the evaluation of an additive value function in multiple criteria preference disaggregation methods: an experimental analysis (2017)
  10. Patel, G. N.; Bose, A.: Seeking alternative DEA benchmarks (2014)
  11. Pitz, Hans-Joachim: Data preparation for optimization with R (2012)