pkgdown/mathjax-config.html

Skip to contents

High-Level Pruning

Main functions for predictor pruning

corrPrune()
Association-Based Predictor Pruning
modelPrune()
Model-Based Predictor Pruning

Exact Subset Enumeration

Graph-theoretic algorithms for exhaustive search

corrSelect()
Select Variable Subsets with Low Correlation (Data Frame Interface)
assocSelect()
Select Variable Subsets with Low Association (Mixed-Type Data Frame Interface)
MatSelect()
Select Variable Subsets with Low Correlation or Association (Matrix Interface)

Utility Functions

Helper functions for working with results

show(<CorrCombo>)
CorrCombo S4 class
as.data.frame(<CorrCombo>)
Coerce CorrCombo to a Data Frame
corrSubset()
Extract Variable Subsets from a CorrCombo Object
corrselect-package corrselect
corrselect: Correlation-Based and Model-Based Predictor Pruning

Example Datasets

Realistic datasets for vignettes

bioclim_example
Example Bioclimatic Data for Ecological Modeling
survey_example
Example Survey Data for Social Science Research
genes_example
Example Gene Expression Data for Bioinformatics
longitudinal_example
Example Longitudinal Data for Clinical Research
cor_example
Example Correlation Matrix with Block Structure