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:Guangwei Weng [aut, cre]

lsbs_0.1.tar.gz
lsbs_0.1.zip(r-4.5)lsbs_0.1.zip(r-4.4)lsbs_0.1.zip(r-4.3)
lsbs_0.1.tgz(r-4.5-any)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

On CRAN:

Conda:

2.00 score 1 stars 2 scripts 136 downloads 2 exports 14 dependencies

Last updated 6 years agofrom:26099592a6. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-winNOTEMar 06 2025
R-4.5-macNOTEMar 06 2025
R-4.5-linuxNOTEMar 06 2025
R-4.4-winNOTEMar 06 2025
R-4.4-macNOTEMar 06 2025
R-4.4-linuxNOTEMar 06 2025
R-4.3-winNOTEMar 06 2025
R-4.3-macNOTEMar 06 2025

Exports:hdrbslsbs

Dependencies:FNNkernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmenumDerivpracmaRcpp