• 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 cardinality-constrained quadratic ... optimization algorithm, used to solve subset selection in regression and portfolio selection in asset allocation...
  • LISP-STAT

  • Referenced in 117 articles [sw01111]
  • Lisp language, in particular on a subset of Common Lisp. Lisp-Stat 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 positive-only and negative-only examples...
  • lmSubsets

  • Referenced in 2 articles [sw33242]
  • package lmSubsets: Exact Variable-Subset 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 multi-class), 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...
  • pi-MASS

  • Referenced in 20 articles [sw17249]
  • SNPs as the covariates in the regression. Characteristic features of genome-wide 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. Best-subset 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); kernel-based autocorrelation ... report small-sample statistics; first-stage regression reported with F-test 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...