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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.1 |
2026-04-09 windows/windows R-4.5 | kde1d_1.1.1.zip |
477.5 KiB |