Package: md 1.0.4
Genzo Kaga
md: Selecting Bandwidth for Kernel Density Estimator with Minimum Distance Method
Selects bandwidth for the kernel density estimator with minimum distance method as proposed by Devroye and Lugosi (1996). The minimum distance method directly selects the optimal kernel density estimator from countably infinite kernel density estimators and indirectly selects the optimal bandwidth. This package selects the optimal bandwidth from finite kernel density estimators.
Authors:
md_1.0.4.tar.gz
md_1.0.4.tar.gz(r-4.5-noble)md_1.0.4.tar.gz(r-4.4-noble)
md_1.0.4.tgz(r-4.4-emscripten)md_1.0.4.tgz(r-4.3-emscripten)
md.pdf |md.html✨
md/json (API)
| # Install 'md' in R: |
| install.packages('md', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:080cd3e593. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 16 2024 |
| R-4.5-linux | OK | Dec 16 2024 |
Exports:counterdeltaboxmdmmfhatfhatboxmkermdnomscheffesubcounterxmmxym
Dependencies:
