
Walksat
 Referenced in 207 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 82 articles
[sw06072]
 estimated if latent variables and/or selection variables are assumed to be present. FCI and RFCI...

OSCAR
 Referenced in 46 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...

BayesTree
 Referenced in 58 articles
[sw07995]
 also be used for modelfree variable selection. BART’s many features are illustrated with...

Bolasso
 Referenced in 26 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...

LASSO
 Referenced in 32 articles
[sw02850]
 method to achieve the shrinkage and variable selection simultaneously. The main idea of LASSO...

EMVS
 Referenced in 28 articles
[sw31733]
 ExpectationMaximization Approach to Bayesian Variable Selection. An efficient expectationmaximization algorithm for fitting Bayesian...

mixOmics
 Referenced in 28 articles
[sw09508]
 large number of variables. sPLS allows variable selection in a one step procedure...

MIM
 Referenced in 128 articles
[sw26139]
 discrete and continuous variables. Further chapters cover hypothesis testing and model selection. Chapters...

piMASS
 Referenced in 16 articles
[sw17249]
 Bayesian variable selection regression for genomewide association studies and other largescale problems ... consider applying Bayesian Variable Selection Regression, or BVSR, to genomewide 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 25 articles
[sw35840]
 package foba  greedy variable selection. foba is a package that implements forward, backward, and foba...

clustvarsel
 Referenced in 16 articles
[sw07967]
 package clustvarsel: Variable Selection for ModelBased Clustering. A function which implements variable selection methodology ... find the (locally) optimal subset of variables in a dataset that have group/cluster information...

LIMDEP
 Referenced in 75 articles
[sw04925]
 count, discrete and continuous variables and a variety of sample selection models. No other program...

BMSS
 Referenced in 12 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...

semprop
 Referenced in 17 articles
[sw28383]
 strong restriction of the variable selection in semantic tree procedures for quantified Boolean formulas, learning...

boost
 Referenced in 36 articles
[sw35655]
 number of highly correlated input variables, perform feature selection and provide class probability estimates that...

spikeslab
 Referenced in 9 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...

varSelRF
 Referenced in 8 articles
[sw08253]
 package varSelRF: Variable selection using random forests. Variable selection from random forests using both backwards ... variable elimination (for the selection ... small sets of nonredundant variables) and selection based on the importance spectrum (somewhat similar ... scree plots; for the selection of large, potentially highlycorrelated variables). Main applications in high...

spikeSlabGAM
 Referenced in 8 articles
[sw07415]
 package spikeSlabGAM: Bayesian variable selection and model choice for generalized additive mixed models. Bayesian variable...

DALEX
 Referenced in 11 articles
[sw26094]
 function of a single selected variable. It is a wrapper over packages ’pdp’ and ’ALEPlot...