Package: ICV 1.0
ICV: Indirect Cross-Validation (ICV) for Kernel Density Estimation
Functions for computing the global and local Gaussian density estimates based on the ICV bandwidth. See the article of Savchuk, O.Y., Hart, J.D., Sheather, S.J. (2010). Indirect cross-validation for density estimation. Journal of the American Statistical Association, 105(489), 415-423 <doi:10.1198/jasa.2010.tm08532>.
Authors:
ICV_1.0.tar.gz
ICV_1.0.zip(r-4.5)ICV_1.0.zip(r-4.4)ICV_1.0.zip(r-4.3)
ICV_1.0.tgz(r-4.4-any)ICV_1.0.tgz(r-4.3-any)
ICV_1.0.tar.gz(r-4.5-noble)ICV_1.0.tar.gz(r-4.4-noble)
ICV_1.0.tgz(r-4.4-emscripten)ICV_1.0.tgz(r-4.3-emscripten)
ICV.pdf |ICV.html✨
ICV/json (API)
| # Install 'ICV' in R: |
| install.packages('ICV', repos = c('https://osavchuk.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 8 years agofrom:f3e11a0d2e. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:C_ICVh_ICVh_isemixnormICVISE_mixnormKDE_ICVL_ICVLocICVMISE_mixnormmixnorm
Dependencies:
