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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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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.