subselect

R package subselect: Selecting variable subsets. A collection of functions which (i) assess the quality of variable subsets as surrogates for a full data set, in either an exploratory data analysis or in the context of a multivariate linear model, and (ii) search for subsets which are optimal under various criteria.

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References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
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  1. Marc Hofmann, Cristian Gatu, Erricos J. Kontoghiorghes, Ana Colubi, Achim Zeileis: lmSubsets: Exact Variable-Subset Selection in Linear Regression for R (2020) not zbMATH
  2. Brusco, Michael J.: A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis (2014)
  3. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
  4. Reiss, Philip T.; Huang, Lei; Cavanaugh, Joseph E.; Roy, Amy Krain: Resampling-based information criteria for best-subset regression (2012)
  5. Vincent Calcagno; Claire de Mazancourt: glmulti: An R Package for Easy Automated Model Selection with (Generalized) Linear Models (2010) not zbMATH
  6. Roger Koenker: Censored Quantile Regression Redux (2008) not zbMATH