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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
DOI: 10.32614/CRAN.package.rlcv
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

Documentation:

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

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rlcv to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.