• Walksat

  • Referenced in 211 articles [sw04328]
  • algorithm terminates, returning the assignment. Otherwise, a variable is flipped and the above is then ... differ in the methods used to select which variable to flip. GSAT makes the change...
  • pcalg

  • Referenced in 92 articles [sw06072]
  • estimated if latent variables and/or selection variables are assumed to be present. FCI and RFCI...
  • OSCAR

  • Referenced in 58 articles [sw03026]
  • Simultaneous regression shrinkage, variable selection, and supervised clustering of predictors with OSCAR. Variable selection ... regression), is proposed to simultaneously select variables while grouping them into predictive clusters. In addition ... favorably to the existing shrinkage and variable selection techniques in terms of both prediction error...
  • BartPy

  • Referenced in 99 articles [sw40584]
  • also be used for model-free variable selection. BART’s many features are illustrated with...
  • BayesTree

  • Referenced in 64 articles [sw07995]
  • also be used for model-free variable selection. BART’s many features are illustrated with...
  • Bolasso

  • Referenced in 29 articles [sw31649]
  • probability of correct model selection (i.e., variable selection). For a specific rate decay, we show ... that the Lasso selects all the variables that should enter the model with probability tending ... exponentially fast, while it selects all other variables with strictly positive probability. We show that ... consistent model selection. This novel variable selection algorithm, referred to as the Bolasso, is compared...
  • EMVS

  • Referenced in 40 articles [sw31733]
  • Expectation-Maximization Approach to Bayesian Variable Selection. An efficient expectation-maximization algorithm for fitting Bayesian...
  • clustvarsel

  • Referenced in 23 articles [sw07967]
  • package clustvarsel: Variable Selection for Model-Based Clustering. A function which implements variable selection methodology ... find the (locally) optimal subset of variables in a dataset that have group/cluster information...
  • LASSO

  • Referenced in 33 articles [sw02850]
  • method to achieve the shrinkage and variable selection simultaneously. The main idea of LASSO...
  • pi-MASS

  • Referenced in 20 articles [sw17249]
  • Bayesian variable selection regression for genome-wide association studies and other large-scale problems ... consider applying Bayesian Variable Selection Regression, or BVSR, to genome-wide association studies and similar ... naturally be cast as a variable selection regression problem, with the SNPs as the covariates ... focus primarily on identifying relevant variables, rather than on prediction; and (ii) many relevant covariates...
  • foba

  • Referenced in 30 articles [sw35840]
  • package foba - greedy variable selection. foba is a package that implements forward, backward, and foba...
  • mixOmics

  • Referenced in 29 articles [sw09508]
  • large number of variables. sPLS allows variable selection in a one step procedure...
  • MIM

  • Referenced in 134 articles [sw26139]
  • discrete and continuous variables. Further chapters cover hypothesis testing and model selection. Chapters...
  • BMSS

  • Referenced in 15 articles [sw13450]
  • Variable selection and dependency networks for genomewide data. We describe a new stochastic search algorithm ... make use of BMSS to perform variable selection and classification as well as to construct ... involve any combination of continuous and discrete variables. We illustrate our methodology with several real...
  • LIMDEP

  • Referenced in 78 articles [sw04925]
  • count, discrete and continuous variables and a variety of sample selection models. No other program...
  • boost

  • Referenced in 41 articles [sw35655]
  • number of highly correlated input variables, perform feature selection and provide class probability estimates that...
  • spikeslab

  • Referenced in 11 articles [sw14503]
  • package spikeslab: Prediction and variable selection using spike and slab regression. Spike and slab ... prediction and variable selection in linear regression models. Uses a generalized elastic net for variable...
  • semprop

  • Referenced in 18 articles [sw28383]
  • strong restriction of the variable selection in semantic tree procedures for quantified Boolean formulas, learning...
  • spikeSlabGAM

  • Referenced in 11 articles [sw07415]
  • package spikeSlabGAM: Bayesian variable selection and model choice for generalized additive mixed models. Bayesian variable...
  • SIS

  • Referenced in 11 articles [sw08182]
  • package SIS: SIS: Sure Independence Screening. Variable selection techniques are essential tools for model selection ... unified environment to carry out variable selection using iterative sure independence screening...