Package: PCObw 0.0.1
S. Varet
PCObw: Bandwidth Selector with Penalized Comparison to Overfitting Criterion
Bandwidth selector according to the Penalised Comparison to Overfitting (P.C.O.) criterion as described in Varet, S., Lacour, C., Massart, P., Rivoirard, V., (2019) <https://hal.archives-ouvertes.fr/hal-02002275>. It can be used with univariate and multivariate data.
Authors:
PCObw_0.0.1.tar.gz
PCObw_0.0.1.tar.gz(r-4.5-noble)PCObw_0.0.1.tar.gz(r-4.4-noble)
PCObw_0.0.1.tgz(r-4.4-emscripten)PCObw_0.0.1.tgz(r-4.3-emscripten)
PCObw.pdf |PCObw.html✨
PCObw/json (API)
# Install 'PCObw' in R: |
install.packages('PCObw', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- gauss_1D_sample - Univariate sample
- gauss_mD_sample - Multivariate sample
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:963c9ffca9. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 07 2024 |
R-4.5-linux-x86_64 | OK | Dec 07 2024 |
Exports:bw.L2PCObw.L2PCO.diag
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bandwidth Selector with Penalized Comparison to Overfitting Criterion | PCObw-package PCObw |
Compute the full PCO bandwith | bw.L2PCO |
Compute the diagonal PCO bandwith | bw.L2PCO.diag |
Univariate sample | gauss_1D_sample |
Multivariate sample | gauss_mD_sample |