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baggingbwsel  

Bagging Bandwidth Selection in Kernel Density and Regression Estimation
View on CRAN: Click here


Download and install baggingbwsel package within the R console
Install from CRAN:
install.packages("baggingbwsel")

Install from Github:
library("remotes")
install_github("cran/baggingbwsel")

Install by package version:
library("remotes")
install_version("baggingbwsel", "1.1")



Attach the package and use:
library("baggingbwsel")
Maintained by
Ruben Fernandez-Casal
[Scholar Profile | Author Map]
First Published: 2021-07-12
Latest Update: 2024-07-27
Description:
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) <doi:10.1093/biomet/asaa092> and Barreiro-Ures et al. (2021) <doi:10.48550/arXiv.2105.04134>.
How to cite:
Ruben Fernandez-Casal (2021). baggingbwsel: Bagging Bandwidth Selection in Kernel Density and Regression Estimation. R package version 1.1, https://cran.r-project.org/web/packages/baggingbwsel. Accessed 09 May. 2025.
Previous versions and publish date:
1.0 (2021-07-12 09:20)
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Complete documentation for baggingbwsel
Functions, R codes and Examples using the baggingbwsel R package
Full baggingbwsel package functions and examples
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