rlcv: Robust Likelihood Cross Validation Bandwidth Selection

Robust likelihood cross validation bandwidth for uni- and multi-variate kernel densities. It is robust against fat-tailed distributions and/or outliers. Based on "Robust Likelihood Cross-Validation for Kernel Density Estimation," Wu (2019) <doi:10.1080/07350015.2018.1424633>.

Version: 1.0.0
Imports: statmod, stats
Suggests: rmarkdown, knitr, copula
Published: 2022-03-07
Author: Ximing Wu [aut, cre]
Maintainer: Ximing Wu <xwu at tamu.edu>
License: GPL (≥ 3)
URL: https://sites.google.com/tamu.edu/ximingwu/
NeedsCompilation: no
Materials: README
CRAN checks: rlcv results


Reference manual: rlcv.pdf
Vignettes: robust likelihood cross validation


Package source: rlcv_1.0.0.tar.gz
Windows binaries: r-devel: rlcv_1.0.0.zip, r-release: rlcv_1.0.0.zip, r-oldrel: rlcv_1.0.0.zip
macOS binaries: r-release (arm64): rlcv_1.0.0.tgz, r-oldrel (arm64): rlcv_1.0.0.tgz, r-release (x86_64): rlcv_1.0.0.tgz, r-oldrel (x86_64): rlcv_1.0.0.tgz


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