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
lsbs_0.1.zip(r-4.7)lsbs_0.1.zip(r-4.6)lsbs_0.1.zip(r-4.5)
lsbs_0.1.tgz(r-4.6-any)lsbs_0.1.tgz(r-4.5-any)
lsbs_0.1.tar.gz(r-4.7-any)lsbs_0.1.tar.gz(r-4.6-any)
lsbs_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:26099592a6. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 148 | ||
| source / vignettes | OK | 139 | ||
| linux-release-x86_64 | NOTE | 106 | ||
| macos-release-arm64 | NOTE | 132 | ||
| macos-oldrel-arm64 | NOTE | 82 | ||
| windows-devel | NOTE | 76 | ||
| windows-release | NOTE | 69 | ||
| windows-oldrel | NOTE | 85 | ||
| wasm-release | OK | 90 |
Dependencies:FNNkernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmenumDerivpracmaRcpp
