
CMAES
 Referenced in 109 articles
[sw05063]
 stands for Covariance Matrix Adaptation Evolution Strategy. Evolution strategies (ES) are stochastic, derivativefree methods ... variation (via mutation and recombination) and selection: in each generation (iteration) new individuals (candidate solutions ... stochastic way, and then some individuals are selected for the next generation based on their ... variables in this distribution are represented by a covariance matrix. The covariance matrix adaptation...

foba
 Referenced in 27 articles
[sw35840]
 package foba  greedy variable selection. foba is a package that implements forward, backward, and foba ... ridge regression, described in the paper ”Adaptive ForwardBackward Greedy Algorithm for Learning Sparse Representations...

BAS
 Referenced in 5 articles
[sw24118]
 Model Averaging using Bayesian Adaptive Sampling. Package for Bayesian Variable Selection and Model Averaging...

ConvexLAR
 Referenced in 2 articles
[sw16543]
 extends to group selection and data adaptive variable selection. After simple modification, it also yields...

BayesTree
 Referenced in 59 articles
[sw07995]
 nonparametric Bayesian regression approach which uses dimensionally adaptive random basis elements. Motivated by ensemble methods ... also be used for modelfree variable selection. BART’s many features are illustrated with...

spinyReg
 Referenced in 4 articles
[sw14821]
 highdimensional variable selection algorithms (such as lasso, adaptive lasso, stability selection or spike...

cqrReg
 Referenced in 3 articles
[sw21332]
 Quantile and Composite Quantile Regression and Variable Selection. The cqrReg package ... with and without an adaptive lasso penalty for variable selection. In this paper, we reformulate...

decon
 Referenced in 19 articles
[sw11088]
 nonparametric regression model with errorsinvariables. The R functions allow the measurement errors ... estimators computationally more efficient in R, we adapt the ”Fast Fourier Transform” (FFT) algorithm ... deconvolution kernel estimation. Several methods for the selection of the datadriven smoothing parameter...

DBKGrad
 Referenced in 5 articles
[sw14541]
 considered as a discrete variable. The bandwidth, fixed or adaptive, is allowed to be manually ... given by the user or selected by crossvalidation. Pointwise confidence intervals, for each considered...

AdapEnetClass
 Referenced in 1 article
[sw16165]
 Adaptive Elastic Net Methods for Censored Data. Provides new approaches to variable selection...

cvplogistic
 Referenced in 4 articles
[sw29394]
 approximation by coordinate descant (LLACD) and adaptive rescaling algorithms for computing the solutions ... Lassoconcave hybrid penalty for fast variable selection. The hybrid penalty applies the concave penalty...

SelvarMix
 Referenced in 3 articles
[sw24498]
 variable selection in the modelbased clustering and classification frameworks. First, the variables are arranged ... /j.csda.2009.04.013>, is adapted to define the role of variables...

SpatialVS
 Referenced in 1 article
[sw31495]
 Selection. Perform variable selection for the spatial Poisson regression model under the adaptive elastic...

NonpModelCheck
 Referenced in 1 article
[sw15235]
 nonparametric regression model and a variable (or group) selection procedure based on False Discovery Rate ... automatically chosen by cross validation or an adaptive procedure...

ACGSSV
 Referenced in 9 articles
[sw20836]
 selfscaling memoryless BFGS update. An accelerated adaptive class of nonlinear conjugate gradient algorithms ... different structure and complexity, we prove that selection of the scaling parameter in selfscaling ... test problem collection with variables, we show that the adaptive Perry conjugate gradient algorithms based...

FindIt
 Referenced in 2 articles
[sw08164]
 proposed method is applicable, for example, when selecting a small number of most (or least ... treatment of interest. The method adapts the Support Vector Machine classifier by placing separate LASSO ... other parameters, thereby making the variable selection suitable for the exploration of causal heterogeneity...

MiRAnorm
 Referenced in 0 articles
[sw17554]
 adaptive normalization algorithm that selects housekeeping genes based on the sample level variability ... Genome Biology under “MiRAnorm: An Adaptive Method for the Normalization of MicroRNA Array Data...

Kubios HRV
 Referenced in 2 articles
[sw29196]
 easy to use software for heart rate variability (HRV) analysis. The software supports several input ... adaptive QRS detection algorithm and tools for artifact correction, trend removal and analysis sample selection...

Adaptive Threshold
 Referenced in 1 article
[sw34284]
 Adaptive Thresholding in Structure Learning of a Bayesian Network. Thresholding a measure in conditional independence ... sensitive to the threshold that is commonly selected: 1) arbitrarily; 2) irrespective of characteristics ... degree of variable dependence, and variables’ cardinalities. Following, we suggest to adaptively threshold individual tests...

SIVREG
 Referenced in 1 article
[sw37425]
 invalid instruments. sivreg estimates a linear instrumental variables regression where some of the instruments fail ... from a 2SLS regression applying the (adaptive) Lasso selection. For general information about adaptive Lasso...