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kde1d  

Univariate Kernel Density Estimation
View on CRAN: Click here


Download and install kde1d package within the R console
Install from CRAN:
install.packages("kde1d")

Install from Github:
library("remotes")
install_github("cran/kde1d")

Install by package version:
library("remotes")
install_version("kde1d", "1.1.1")



Attach the package and use:
library("kde1d")
Maintained by
Thomas Nagler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-26
Latest Update: 2025-06-12
Description:
Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) , Geenens and Wang (2018) , Nagler (2018a) , Nagler (2018b) .
How to cite:
Thomas Nagler (2018). kde1d: Univariate Kernel Density Estimation. R package version 1.1.1, https://cran.r-project.org/web/packages/kde1d. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2018-03-26 13:01), 0.1.1 (2018-04-06 09:53), 0.1.2 (2018-04-17 11:59), 0.2.0 (2018-05-07 11:27), 0.2.1 (2018-05-29 00:13), 0.4.0 (2019-04-11 15:22), 1.0.0 (2019-11-15 10:30), 1.0.1 (2019-11-15 19:30), 1.0.2 (2019-11-18 16:50), 1.0.3 (2020-10-26 17:20), 1.0.4 (2022-03-17 01:50), 1.0.5 (2022-09-16 14:56), 1.0.7 (2024-01-26 17:40), 1.1.0 (2025-01-08 13:20)
Other packages that cited kde1d R package
View kde1d citation profile
Other R packages that kde1d depends, imports, suggests or enhances
Complete documentation for kde1d
Functions, R codes and Examples using the kde1d R package
Some associated functions: dkde1d . equi_jitter . kde1d-package . kde1d . plot.kde1d . 
Some associated R codes: RcppExports.R . jitter.R . kde1d-methods.R . kde1d-package.R . kde1d.R . tools.R .  Full kde1d package functions and examples
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