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subselect (version 0.12-5)

Selecting Variable Subsets

Description

A collection of functions which (i) assess the quality of variable subsets as surrogates for a full data set, in either an exploratory data analysis or in the context of a multivariate linear model, and (ii) search for subsets which are optimal under various criteria.

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Version

Install

install.packages('subselect')

Monthly Downloads

648

Version

0.12-5

License

GPL (>= 2)

Maintainer

Jorge Cadima

Last Published

April 13th, 2015

Functions in subselect (0.12-5)

Computes Yanai's GCD in the context of the variable-subset selection problem

Computes the RV-coefficient applied to the variable subset selection problem

subselect-internal

Internal subselect Objects

Input matrices for subselect search routines in generalized linear models

Total and Between-Group Deviation Matrices in Linear Discriminant Analysis

Sixty-two economic indicators from 99 Portuguese farms.

Computes the Zeta squared coefficient for a multivariate linear hypothesis

Given an ill-conditioned square matrix, deletes rows/columns until a well-conditioned submatrix is obtained.

Genetic Algorithm searching for an optimal k-variable subset

Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis

Restricted Local Improvement search for an optimal k-variable subset

Wald statistic for variable selection in generalized linear models

Computes the Xi squared coefficient for a multivariate linear hypothesis

Simulated Annealing Search for an optimal k-variable subset

A Leaps and Bounds Algorithm for finding the best variable subsets

Computes the RM coefficient for variable subset selection

First Squared Canonical Correlation for a multivariate linear hypothesis

Total and Effect Deviation Matrices for General Linear Hypothesis

Computes the Tau squared coefficient for a multivariate linear hypothesis