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kdensity
View on CRAN: Click
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Download and install kdensity package within the R console
Install from CRAN:
install.packages("kdensity")
Install from Github:
library("remotes")
install_github("cran/kdensity") Install by package version:
library("remotes")
install_version("kdensity", "1.2.0") Attach the package and use:
library("kdensity")
Maintained by
Jonas Moss
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-27
Latest Update: 2025-03-04
Description:
Handles univariate non-parametric density estimation with
parametric starts and asymmetric kernels in a simple and flexible way.
Kernel density estimation with parametric starts involves fitting a
parametric density to the data before making a correction with kernel
density estimation, see Hjort & Glad (1995) .
Asymmetric kernels make kernel density estimation more efficient on bounded
intervals such as (0, 1) and the positive half-line. Supported asymmetric
kernels are the gamma kernel of Chen (2000) ,
the beta kernel of Chen (1999) , and the
copula kernel of Jones & Henderson (2007) .
User-supplied kernels, parametric starts, and bandwidths are supported.
How to cite:
Jonas Moss (2018). kdensity: Kernel Density Estimation with Parametric Starts and Asymmetric Kernels. R package version 1.2.0, https://cran.r-project.org/web/packages/kdensity. Accessed 08 Oct. 2026.
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Complete documentation for kdensity
Functions, R codes and Examples using
the kdensity R package
Some associated functions: add_bw . add_kernel . add_start . bandwidths . get_bw . get_kernel . get_kernel_start_support . get_range . get_standard_bw . get_start . kdensity . kernels . listmerge . parametric_starts . plot.kdensity . plot_helper . recycle . support_compatible .
Some associated R codes: builtin_bandwidths.R . builtin_bandwidths_get_bw.R . builtin_bandwidths_ucv_helpers.R . builtin_kernels.R . builtin_kernels_get_kernel.R . builtin_starts_get_start.R . builtin_starts_list.R . generics.R . kdensity.R . kdensity_helpers.R . utility_functions.R . Full kdensity package functions and examples
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