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.
- Version1.0.7
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Last release01/26/2024
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Team
Thomas Nagler
Thibault Vatter
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