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kde1d: Univariate Kernel Density Estimation
Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) <doi:10.48550/arXiv.1303.4121>, Geenens and Wang (2018) <doi:10.48550/arXiv.1602.04862>, Nagler (2018a) <doi:10.48550/arXiv.1704.07457>, Nagler (2018b) <doi:10.48550/arXiv.1705.05431>.
Getting started
Browse package contents
Package details |
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| Author | Thomas Nagler [aut, cre], Thibault Vatter [aut] |
| Maintainer | Thomas Nagler <mail@tnagler.com> |
| License | MIT + file LICENSE |
| Version | 1.1.0 |
| URL | https://tnagler.github.io/kde1d/ |
| Package repository | View on CRAN |
| Installation |
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