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ICV  

Indirect Cross-Validation (ICV) for Kernel Density Estimation
View on CRAN: Click here


Download and install ICV package within the R console
Install from CRAN:
install.packages("ICV")

Install from Github:
library("remotes")
install_github("cran/ICV")

Install by package version:
library("remotes")
install_version("ICV", "1.0")



Attach the package and use:
library("ICV")
Maintained by
Olga Savchuk
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-22
Latest Update: 2017-01-22
Description:
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 .
How to cite:
Olga Savchuk (2017). ICV: Indirect Cross-Validation (ICV) for Kernel Density Estimation. R package version 1.0, https://cran.r-project.org/web/packages/ICV. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited ICV R package
View ICV citation profile
Other R packages that ICV depends, imports, suggests or enhances
Complete documentation for ICV
Functions, R codes and Examples using the ICV R package
Some associated functions: C_ICV . ICV . ISE_mixnorm . KDE_ICV . L_ICV . LocICV . MISE_mixnorm . h_ICV . h_isemixnorm . mixnorm . 
Some associated R codes: ICV.R .  Full ICV package functions and examples
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