R: Selecting Variable Subsets

# Selecting Variable Subsets

## Documentation for package ‘subselect’ version 0.16.1

- 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