Feature selection or variable selection in machine learning is the process of selecting a subset of relevant features (variables or predictors) for use in model construction.
Introduction to feature selection: https://www.analyticsvidhya.com/blog/2016/12/introduction-to-feature-selection-methods-with-an-example-or-how-to-select-the-right-variables/
Examples:
https://cran.r-project.org/web/packages/FSinR/vignettes/FSinR.html
CRAN pdf:
https://cran.r-project.org/web/packages/FSinR/FSinR.pdf
Examples:
https://www.analyticsvidhya.com/blog/2016/03/select-important-variables-boruta-package/
https://www.datacamp.com/community/tutorials/feature-selection-R-boruta
https://www.listendata.com/2017/05/feature-selection-boruta-package.html
http://www.cybaea.net/Journal/2010/11/15/Feature-selection-All-relevant-selection-with-the-Boruta-package/
CRAN pdf:
https://cran.r-project.org/web/packages/Boruta/Boruta.pdf
Examples:
http://ml-tutorials.kyrcha.info/rfe.html
http://www.cybaea.net/Journal/2010/11/16/Feature-selection-Using-the-caret-package/
https://machinelearningmastery.com/feature-selection-with-the-caret-r-package/
CRAN pdf:
https://cran.r-project.org/web/packages/caret/caret.pdf
Examples:
https://cran.r-project.org/web/packages/spFSR/vignettes/spFSR.html
CRAN pdf:
https://cran.r-project.org/web/packages/spFSR/spFSR.pdf
Examples:
https://www.kaggle.com/netzone/mushroom-classification-using-varselrf
CRAN pdf:
https://cran.r-project.org/web/packages/varSelRF/varSelRF.pdf
Examples:
https://ucilnica.fri.uni-lj.si/pluginfile.php/24621/mod_resource/content/3/lab%205%20-%20attribute%20evaluation.R
CRAN pdf:
https://cran.r-project.org/web/packages/CORElearn/CORElearn.pdf
Examples:
https://miningthedetails.com/blog/r/fselector/
CRAN pdf:
https://cran.r-project.org/web/packages/FSelector/FSelector.pdf
Examples:
https://biodatamining.biomedcentral.com/articles/10.1186/s13040-017-0142-8
CRAN pdf:
https://cran.r-project.org/web/packages/EFS/EFS.pdf
CRAN pdf:
https://cran.r-project.org/web/packages/RWeka/RWeka.pdf
CRAN pdf:
https://cran.r-project.org/web/packages/featurefinder/featurefinder.pdf