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subselect (version 0.15.5)

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. Theoretical support for the heuristic search methods and exploratory data analysis criteria is in Cadima, Cerdeira, Minhoto (2003, ). Theoretical support for the leap and bounds algorithm and the criteria for the general multivariate linear model is in Duarte Silva (2001, ). There is a package vignette "subselect", which includes additional references.

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Version

Install

install.packages('subselect')

Monthly Downloads

410

Version

0.15.5

License

GPL (>= 2)

Maintainer

Last Published

July 10th, 2023

Functions in subselect (0.15.5)

ccr12.coef

First Squared Canonical Correlation for a multivariate linear hypothesis
glmHmat

Input matrices for subselect search routines in generalized linear models
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
eleaps

A Leaps and Bounds Algorithm for finding the best variable subsets
glhHmat

Total and Effect Deviation Matrices for General Linear Hypothesis
anneal

Simulated Annealing Search for an optimal k-variable subset
farm

Sixty-two economic indicators from 99 Portuguese farms.
improve

Restricted Local Improvement search for an optimal k-variable subset
ldaHmat

Total and Between-Group Deviation Matrices in Linear Discriminant Analysis
rm.coef

Computes the RM coefficient for variable subset selection
lmHmat

Total and Effect Deviation Matrices for Linear Regression and Canonical Correlation Analysis
xi2.coef

Computes the Xi squared coefficient for a multivariate linear hypothesis
wald.coef

Wald statistic for variable selection in generalized linear models
subselect-internal

Internal subselect Objects
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.
zeta2.coef

Computes the Zeta squared coefficient for a multivariate linear hypothesis