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subselect (version 0.14)

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

1,056

Version

0.14

License

GPL (>= 2)

Maintainer

Jorge Cadima

Last Published

January 29th, 2018

Functions in subselect (0.14)

Total and Effect Deviation Matrices for General Linear Hypothesis

Input matrices for subselect search routines in generalized linear models

A Leaps and Bounds Algorithm for finding the best variable subsets

Sixty-two economic indicators from 99 Portuguese farms.

Restricted Local Improvement search for an optimal k-variable subset

Total and Between-Group Deviation Matrices in Linear Discriminant Analysis

Simulated Annealing Search for an optimal k-variable subset

First Squared Canonical Correlation for a multivariate linear hypothesis

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

Genetic Algorithm searching for an optimal k-variable subset

Computes the Zeta squared coefficient for a multivariate linear hypothesis

Computes the Tau squared coefficient for a multivariate linear hypothesis

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

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

Wald statistic for variable selection in generalized linear models

Computes the Xi squared coefficient for a multivariate linear hypothesis

subselect-internal

Internal subselect Objects

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

Computes the RM coefficient for variable subset selection