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Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) <arXiv:1303.4121>, Geenens and Wang (2018) <arXiv:1602.04862>, Nagler (2018a) <arXiv:1704.07457>, Nagler (2018b) <arXiv:1705.05431>.

copied from cf-post-staging / r-kde1d
Type Size Name Uploaded Downloads Labels
conda 145.6 kB | win-64/r-kde1d-1.1.1-r44hd8a2815_0.conda  15 days and 14 hours ago 27 main
conda 156.1 kB | osx-64/r-kde1d-1.1.1-r44h813e631_0.conda  15 days and 14 hours ago 19 main
conda 144.6 kB | win-64/r-kde1d-1.1.1-r43hd8a2815_0.conda  15 days and 14 hours ago 24 main
conda 154.7 kB | osx-64/r-kde1d-1.1.1-r43h813e631_0.conda  15 days and 14 hours ago 19 main
conda 159.1 kB | linux-64/r-kde1d-1.1.1-r43h3697838_0.conda  15 days and 14 hours ago 55 main
conda 159.9 kB | linux-64/r-kde1d-1.1.1-r44h3697838_0.conda  15 days and 14 hours ago 58 main

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