Selecting Variable Subsets

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Documentation for package ‘subselect’ version 0.15.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

anneal	Simulated Annealing Search for an optimal k-variable subset
ccr12.coef	First Squared Canonical Correlation for a multivariate linear hypothesis
eleaps	A Leaps and Bounds Algorithm for finding the best variable subsets
farm	Sixty-two economic indicators from 99 Portuguese farms.
gcd.coef	Computes Yanai's GCD in the context of the variable-subset selection problem
genetic	Genetic Algorithm searching for an optimal k-variable subset
glhHmat	Total and Effect Deviation Matrices for General Linear Hypothesis
glhHmat.data.frame	Total and Effect Deviation Matrices for General Linear Hypothesis
glhHmat.default	Total and Effect Deviation Matrices for General Linear Hypothesis
glhHmat.formula	Total and Effect Deviation Matrices for General Linear Hypothesis
glmHmat	Input matrices for subselect search routines in generalized linear models
glmHmat.glm	Input matrices for subselect search routines in generalized linear models
improve	Restricted Local Improvement search for an optimal k-variable subset
ldaHmat	Total and Between-Group Deviation Matrices in Linear Discriminant Analysis
ldaHmat.data.frame	Total and Between-Group Deviation Matrices in Linear Discriminant Analysis
ldaHmat.default	Total and Between-Group Deviation Matrices in Linear Discriminant Analysis
ldaHmat.formula	Total and Between-Group Deviation Matrices in Linear Discriminant Analysis
leaps	A Leaps and Bounds Algorithm for finding the best variable subsets
lmHmat	Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis
lmHmat.data.frame	Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis
lmHmat.default	Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis
lmHmat.formula	Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis
lmHmat.lm	Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis
rm.coef	Computes the RM coefficient for variable subset selection
rv.coef	Computes the RV-coefficient applied to the variable subset selection problem
tau2.coef	Computes the Tau squared coefficient for a multivariate linear hypothesis
trim.matrix	Given an ill-conditioned square matrix, deletes rows/columns until a well-conditioned submatrix is obtained.
wald.coef	Wald statistic for variable selection in generalized linear models
xi2.coef	Computes the Xi squared coefficient for a multivariate linear hypothesis
zeta2.coef	Computes the Zeta squared coefficient for a multivariate linear hypothesis