
leaps
 Referenced in 22 articles
[sw04361]
 package leaps: regression subset selection. Regression subset selection including exhaustive search...

VisualUTA
 Referenced in 112 articles
[sw16231]
 value functions which result from an ordinal regression. The preference information provided by the decision ... subset of alternatives A^R, called reference alternatives. The preference model built via ordinal regression ... used interactively, with an increasing subset A^R and a progressive statement of pairwise comparisons...

UTA Plus
 Referenced in 151 articles
[sw16225]
 subset A’ of the reference actions. The procedure, based on a principle of ordinal regression...

CRIO
 Referenced in 31 articles
[sw04840]
 current leading methods in classification and regression. The second part describes our cardinalityconstrained quadratic ... optimization algorithm, used to solve subset selection in regression and portfolio selection in asset allocation...

LISPSTAT
 Referenced in 117 articles
[sw01111]
 Lisp language, in particular on a subset of Common Lisp. LispStat extends standard Lisp ... model representations, such as linear and nonlinear regression models and generalized linear models. Many aspects...

FORS
 Referenced in 17 articles
[sw04848]
 positive examples and 0.0 for negative. The regression formulas would only involve this attribute ... would tend to find rules that cover subsets of positiveonly and negativeonly examples...

lmSubsets
 Referenced in 2 articles
[sw33242]
 package lmSubsets: Exact VariableSubset Selection in Linear Regression. Exact and approximation algorithms for variable ... subset selection in ordinary linear regression models. Either compute all submodels with the lowest residual...

abess
 Referenced in 1 article
[sw40395]
 supports the detection of best subset under: linear regression, classification (binary or multiclass), counting ... subset selection like group best subset selection, nuisance penalized regression, Especially, the time complexity ... group) best subset selection for linear regression is certifiably polynomial...

DJL
 Referenced in 1 article
[sw15798]
 outlier detection, combinatorial search (all possible subset regression), productivity evaluation using distance measures: DDF (directional...

Bestsubset
 Referenced in 1 article
[sw34415]
 Package Bestsubset: Tools for best subset selection in regression. This project contains an implementation ... best subset selection in regression, based on a mixed integer quadratic program formulation...

piMASS
 Referenced in 20 articles
[sw17249]
 SNPs as the covariates in the regression. Characteristic features of genomewide association studies include ... impossible to confidently identify the complete “correct” subset of variables. Taken together, these factors ... BVSR compared with alternatives such as penalized regression methods. We focus primarily on analysis...

mogavs
 Referenced in 1 article
[sw32024]
 Regression. Functions for exploring the best subsets in regression with a genetic algorithm. The package...

AltAlt
 Referenced in 7 articles
[sw20691]
 subsets of actions in the planning graph to limit the branching factor of regression search...

rFSA
 Referenced in 1 article
[sw41428]
 feasible solution algorithm. Discussed in Subset Selection in Regression, A Miller (2002). Applied and explained...

CasANOVA
 Referenced in 27 articles
[sw13555]
 differences. This article proposes a novel constrained regression approach to simultaneously accomplish both goals ... results are interpretable in terms of distinct subsets of levels. The proposed procedure is shown...

CARTopt
 Referenced in 4 articles
[sw08364]
 regression trees (CART) from statistical pattern recognition. The CART partition defines desirable subsets where...

FastCUB
 Referenced in 1 article
[sw37406]
 observed information matrix. Bestsubset variable selection for CUB regression models is then implemented...

ivreg2
 Referenced in 15 articles
[sw31884]
 restrictions; C statistic test of exogeneity of subsets of instruments (orthog() option); kernelbased autocorrelation ... report smallsample statistics; firststage regression reported with Ftest of excluded instruments...

PROC ARIMA
 Referenced in 2 articles
[sw12094]
 refers to the ARIMAX model as dynamic regression. The ARIMA procedure provides a comprehensive ... seasonal, subset, and factored ARIMA models; intervention or interrupted time series models; multiple regression analysis...

gaselect
 Referenced in 1 article
[sw32022]
 Provides a genetic algorithm for finding variable subsets in high dimensional data with high prediction ... algorithm can use ordinary least squares (OLS) regression models or partial least ... squares (PLS) regression models to evaluate the prediction power of variable subsets. By supporting different...