logKDE: log-transformed kernel density estimation

R C++ Submitted 24 July 2018Published 06 August 2018
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Editor: @arfon (all papers)
Reviewers: @strengejacke (all reviews)

Authors

Andrew T. Jones, Hien D. Nguyen (0000-0002-9958-432X), Geoffrey J. McLachlan

Citation

Jones et al., (2018). logKDE: log-transformed kernel density estimation . Journal of Open Source Software, 3(28), 870, https://doi.org/10.21105/joss.00870

@article{Jones2018, doi = {10.21105/joss.00870}, url = {https://doi.org/10.21105/joss.00870}, year = {2018}, publisher = {The Open Journal}, volume = {3}, number = {28}, pages = {870}, author = {Andrew T. Jones and Hien D. Nguyen and Geoffrey J. McLachlan}, title = {logKDE: log-transformed kernel density estimation}, journal = {Journal of Open Source Software} }
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data visualization exploratory data analysis non-parametric positive data probability density function

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ISSN 2475-9066