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r-kde1d

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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>.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-kde1d

Usage Tracking

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About

Summary

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>.

Last Updated

Jul 29, 2025 at 07:47

License

MIT

Total Downloads

37.1K

Supported Platforms

macOS-64
win-64
linux-64