leaps

R package leaps: regression subset selection. Regression subset selection including exhaustive search (Source: http://cran.r-project.org/web/packages)

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. Garth Tarr; Samuel Müller; Alan Welsh: mplot: An R Package for Graphical Model Stability and Variable Selection Procedures (2018)
  2. Canhong Wen, Aijun Zhang, Shijie Quan, Xueqin Wang: BeSS: An R Package for Best Subset Selection in Linear, Logistic and CoxPH Models (2017) arXiv
  3. Láruson, Áki J.; Reed, Floyd A.: Stability of underdominant genetic polymorphisms in population networks (2016)
  4. Ugarte, María Dolores; Militino, Ana F.; Arnholt, Alan T.: Probability and statistics with R (2016)
  5. Zhang, Tao; Cavanaugh, Joseph E.: A multistage algorithm for best-subset model selection based on the Kullback-Leibler discrepancy (2016)
  6. Schlittgen, Rainer: Regression analyses with R (2013)
  7. Hay-Jahans, Christopher: An R companion to linear statistical models. (2012)
  8. Reiss, Philip T.; Huang, Lei; Cavanaugh, Joseph E.; Roy, Amy Krain: Resampling-based information criteria for best-subset regression (2012)
  9. Alfons, Andreas; Baaske, Wolfgang E.; Filzmoser, Peter; Mader, Wolfgang; Wieser, Roland: Robust variable selection with application to quality of life research (2011)
  10. Vincent Calcagno; Claire de Mazancourt: glmulti: An R Package for Easy Automated Model Selection with (Generalized) Linear Models (2010)
  11. A. Ian McLeod; Ying Zhang: Improved Subset Autoregression: With R Package (2008)