Bagging Bandwidth Selection in Kernel Density and Regression Estimation

Bagging bandwidth selection methods for the Parzen-Rosenblatt and Nadaraya-Watson estimators. These bandwidth selectors can achieve greater statistical precision than their non-bagged counterparts while being computationally fast. See Barreiro-Ures et al. (2020) and Barreiro-Ures et al. (2021) .


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install.packages("baggingbwsel")

1.0 by Daniel Barreiro-Ures, 3 months ago


Browse source code at https://github.com/cran/baggingbwsel


Authors: Daniel Barreiro-Ures [aut, cre] , Jeffrey Hart [aut] , Ricardo Cao [aut] , Mario Francisco-Fernandez [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, parallel, doParallel, kedd, stats, sm, nor1mix, rgl, rpanel, tkrplot, misc3d

Depends on mclust, foreach

Linking to Rcpp


See at CRAN