Package: lsbs 0.1
lsbs: Bandwidth Selection for Level Sets and HDR Estimation
Bandwidth selection for kernel density estimators of 2-d level sets and highest density regions. It applies a plug-in strategy to estimate the asymptotic risk function and minimize to get the optimal bandwidth matrix. See Doss and Weng (2018) <arxiv:1806.00731> for more detail.
Authors:
lsbs_0.1.tar.gz
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lsbs_0.1.tgz(r-4.4-any)lsbs_0.1.tgz(r-4.3-any)
lsbs_0.1.tar.gz(r-4.5-noble)lsbs_0.1.tar.gz(r-4.4-noble)
lsbs_0.1.tgz(r-4.4-emscripten)lsbs_0.1.tgz(r-4.3-emscripten)
lsbs.pdf |lsbs.html✨
lsbs/json (API)
| # Install 'lsbs' in R: |
| install.packages('lsbs', repos = c('https://weng-gw.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/weng-gw/lsbs/issues
Last updated 6 years agofrom:26099592a6. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-win | NOTE | Nov 06 2024 |
| R-4.5-linux | NOTE | Nov 06 2024 |
| R-4.4-win | NOTE | Nov 06 2024 |
| R-4.4-mac | NOTE | Nov 06 2024 |
| R-4.3-win | NOTE | Nov 06 2024 |
| R-4.3-mac | NOTE | Nov 06 2024 |
Dependencies:FNNkernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmenumDerivpracmaRcpp
