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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "kdensity" in publications use:'
type: software
license: MIT
title: 'kdensity: Kernel Density Estimation with Parametric Starts and Asymmetric
  Kernels'
version: 1.1.0
doi: 10.32614/CRAN.package.kdensity
abstract: 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) <https://doi.org/10.1214/aos/1176324627>.
  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) <https://doi.org/10.1023/A:1004165218295>, the beta
  kernel of Chen (1999) <https://doi.org/10.1016/S0167-9473(99)00010-9>, and the copula
  kernel of Jones & Henderson (2007) <https://doi.org/10.1093/biomet/asm068>. User-supplied
  kernels, parametric starts, and bandwidths are supported.
authors:
- family-names: Moss
  given-names: Jonas
  email: jonas.gjertsen@gmail.com
- family-names: Tveten
  given-names: Martin
repository: https://jonasmoss.r-universe.dev
repository-code: https://github.com/JonasMoss/kdensity
commit: 72a0c40c361d36359a3c87a57ef94a136dccdcbf
url: https://github.com/JonasMoss/kdensity
contact:
- family-names: Moss
  given-names: Jonas
  email: jonas.gjertsen@gmail.com