
CirCUs
 Referenced in 9 articles
[sw00128]
 also describe a new decision variable selection heuristic that is based on recognizing that...

maSigPro
 Referenced in 9 articles
[sw11024]
 expressed genes, and in second a variable selection strategy is applied to study differences between...

VarSelLCM
 Referenced in 5 articles
[sw15183]
 VarSelLCM: Variable Selection for ModelBased Clustering using the Integrated CompleteData Likelihood ... performing the cluster analysis with variable selection of continuous data by assuming independence between classes ... model interpretation and model selection. The variable selection is led by the Maximum Integrated Complete...

care
 Referenced in 5 articles
[sw19441]
 HighDimensional Regression and CAR Score Variable Selection. Implements the regression approach of Zuber ... Strimmer (2011) ”Highdimensional regression and variable selection using CAR scores” SAGMB ... score is a natural measure of variable importance and provides a canonical ordering of variables ... functions for estimating CAR scores, for variable selection using CAR scores, and for estimating corresponding...

bartMachine
 Referenced in 8 articles
[sw10962]
 data analysis using BART such as variable selection, interaction detection, model diagnostic plots, incorporation...

PReMiuM
 Referenced in 8 articles
[sw14746]
 implemented in the package as variable selection...

MixMoGenD
 Referenced in 5 articles
[sw08624]
 Variable selection in modelbased clustering using multilocus genotype data. We propose a variable selection...

spinyReg
 Referenced in 4 articles
[sw14821]
 with Occam’s razor for Bayesian variable selection in highdimensional regression. We address ... problem of Bayesian variable selection for highdimensional linear regression. We consider a generative model ... stateoftheart highdimensional variable selection algorithms (such as lasso, adaptive lasso, stability ... slab procedures) are reported. Competitive variable selection results and predictive performances are achieved on both...

BAS
 Referenced in 5 articles
[sw24118]
 package BAS: Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling. Package for Bayesian ... Variable Selection and Model Averaging in linear models and generalized linear models using stochastic ... Clyde (2015) . Other model selection criteria include AIC, BIC and Empirical Bayes estimates ... used. The user may force variables to always be included. Details behind the sampling algorithm...

SIS
 Referenced in 5 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...

DALEX
 Referenced in 7 articles
[sw26094]
 function of a single selected variable. It is a wrapper over packages ’pdp’ and ’ALEPlot...

ofw
 Referenced in 4 articles
[sw10549]
 Package to Select Continuous Variables for Multiclass Classification with a Stochastic Wrapper Method. When dealing ... classification task. Few tools exist for selecting variables in such data sets, especially when classes ... continuous variables. The aim is to select relevant variables ... numerically evaluate the resulting variable selection. Two versions are proposed with the application of supervised...

cmenet
 Referenced in 7 articles
[sw21048]
 method for bilevel variable selection of conditional main effects. This paper presents a novel...

GSPPCA
 Referenced in 4 articles
[sw25977]
 Bayesian variable selection for globally sparse probabilistic PCA. Sparse versions of principal component analysis ... computed, the interpretation of the selected variables may be difficult since each axis ... allows the practitioner to identify which original variables are most relevant to describe the data ... Occam’s razor to select the relevant variables. Since the sparsity pattern is common...

GALGO
 Referenced in 3 articles
[sw25290]
 GALGO: An R Package for Multivariate Variable Selection Using Genetic Algorithms. The development of statistical ... resources. It follows that an efficient variable selection strategy is required. However, although software packages ... performing univariate variable selection are available, a comprehensive software environment to develop and evaluate multivariate ... statistical models using a multivariate variable selection strategy is still needed. In order to address...

subselect
 Referenced in 6 articles
[sw06780]
 package subselect: Selecting variable subsets. A collection of functions which (i) assess the quality...

cvplogistic
 Referenced in 4 articles
[sw29394]
 Lassoconcave hybrid penalty for fast variable selection. The hybrid penalty applies the concave penalty ... only to the variables selected by the Lasso. For all the implemented methods, the solution...

ESS++
 Referenced in 4 articles
[sw24089]
 Bayesian variable selection for linear regression using evolutionary Monte Carlo. ESS++ is a C++ implementation ... fully Bayesian variable selection approach for single and multiple response linear regression. ESS++ works well...

gvs_BUGS
 Referenced in 4 articles
[sw26317]
 Gibbs Variable Selection using BUGS. In this paper we discuss and present in detail ... implementation of Gibbs variable selection as defined by Dellaportas et al. (2000, 2002) using...

BVSNLP
 Referenced in 3 articles
[sw22350]
 package BVSNLP: Bayesian Variable Selection in High Dimensional Settings using NonLocal Prior. Variable/Feature selection ... priors to improve the performance of variable selection and coefficient estimation. It performs variable selection ... reports necessary outcomes of Bayesian variable selection such as Highest Posterior Probability Model (HPPM), Median...