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kernelboot  

Smoothed Bootstrap and Random Generation from Kernel Densities
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("kernelboot", "0.1.10")



Attach the package and use:
library("kernelboot")
Maintained by
Tymoteusz Wolodzko
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-20
Latest Update: 2023-04-14
Description:
Smoothed bootstrap and functions for random generation from univariate and multivariate kernel densities. It does not estimate kernel densities.
How to cite:
Tymoteusz Wolodzko (2017). kernelboot: Smoothed Bootstrap and Random Generation from Kernel Densities. R package version 0.1.10, https://cran.r-project.org/web/packages/kernelboot. Accessed 01 Jul. 2026.
Previous versions and publish date:
0.1.0 (2017-04-20 17:07), 0.1.1 (2017-06-06 00:12), 0.1.2 (2017-09-20 15:15), 0.1.3 (2017-12-18 20:51), 0.1.4 (2018-02-18 23:26), 0.1.5 (2018-07-04 13:30), 0.1.6 (2019-11-07 14:40), 0.1.7 (2020-02-14 00:10), 0.1.9 (2022-09-04 16:20)
Other packages that cited kernelboot R package
View kernelboot citation profile
Other R packages that kernelboot depends, imports, suggests or enhances
Complete documentation for kernelboot
Functions, R codes and Examples using the kernelboot R package
Some associated functions: bw.silv . kernelboot-class . kernelboot . rmvg . rmvk . ruvk . summary.kernelboot . 
Some associated R codes: RcppExports.R . bandwidth.R . kernelboot-methods.R . kernelboot-package.R . kernelboot.R . multivar-gaussian-kd.R . multivar-kd.R . onUnload.R . other.R . univar-kd.R .  Full kernelboot package functions and examples
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