kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels

R Submitted 11 July 2019Published 03 October 2019
Review

Editor: @terrytangyuan (all papers)
Reviewers: @gvegayon (all reviews), @TrashBirdEcology (all reviews)

Authors

Jonas Moss (0000-0002-6876-6964), Martin Tveten (0000-0002-4236-633X)

Citation

Moss et al., (2019). kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels. Journal of Open Source Software, 4(42), 1566, https://doi.org/10.21105/joss.01566

@article{Moss2019, doi = {10.21105/joss.01566}, url = {https://doi.org/10.21105/joss.01566}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {42}, pages = {1566}, author = {Jonas Moss and Martin Tveten}, title = {kdensity: An R package for kernel density estimation with parametric starts and asymmetric kernels}, journal = {Journal of Open Source Software} }
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statistics kernel density estimation non-parametric statistics non-parametrics non-parametric density estimation boundary bias

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ISSN 2475-9066