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:Olga Savchuk

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-4.5-any)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'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.24 score 43 scripts 131 downloads 4 mentions 10 exports 0 dependencies

Last updated 8 years agofrom:f3e11a0d2e. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 16 2025
R-4.5-winOKMar 16 2025
R-4.5-macOKMar 16 2025
R-4.5-linuxOKMar 16 2025
R-4.4-winOKMar 16 2025
R-4.4-macOKMar 16 2025
R-4.4-linuxOKMar 16 2025
R-4.3-winOKMar 16 2025
R-4.3-macOKMar 16 2025

Exports:C_ICVh_ICVh_isemixnormICVISE_mixnormKDE_ICVL_ICVLocICVMISE_mixnormmixnorm

Dependencies: