R: Correlation-Based and Model-Based Predictor Pruning

# Correlation-Based and Model-Based Predictor Pruning

## Documentation for package ‘corrselect’ version 3.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

corrselect-package | corrselect: Correlation-Based and Model-Based Predictor Pruning
as.data.frame.CorrCombo | Coerce CorrCombo to a Data Frame
assocSelect | Select Variable Subsets with Low Association (Mixed-Type Data Frame Interface)
bioclim_example | Example Bioclimatic Data for Ecological Modeling
CorrCombo | CorrCombo Class
corrPrune | Association-Based Predictor Pruning
corrSelect | Select Variable Subsets with Low Correlation (Data Frame Interface)
corrselect | corrselect: Correlation-Based and Model-Based Predictor Pruning
corrSubset | Extract Variable Subsets from a CorrCombo Object
cor_example | Example Correlation Matrix with Block Structure
genes_example | Example Gene Expression Data for Bioinformatics
longitudinal_example | Example Longitudinal Data for Clinical Research
MatSelect | Select Variable Subsets with Low Correlation or Association (Matrix Interface)
modelPrune | Model-Based Predictor Pruning
print.CorrCombo | CorrCombo Class
survey_example | Example Survey Data for Social Science Research