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ksm  

Kernel Density Estimation for Random Symmetric Positive Definite Matrices
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ksm", "1.1")



Attach the package and use:
library("ksm")
Maintained by
Leo Belzile
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-28
Latest Update: 2025-10-28
Description:
Kernel smoothing for Wishart random matrices described in Daayeb, Khardani and Ouimet (2025) <doi:10.48550/arXiv.2506.08816>, Gaussian and log-Gaussian models using least square or likelihood cross validation criteria for optimal bandwidth selection.
How to cite:
Leo Belzile (2025). ksm: Kernel Density Estimation for Random Symmetric Positive Definite Matrices. R package version 1.1, https://cran.r-project.org/web/packages/ksm. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:51), 1.0 (2025-10-28 13:30)
Other packages that cited ksm R package
View ksm citation profile
Other R packages that ksm depends, imports, suggests or enhances
Complete documentation for ksm
Functions, R codes and Examples using the ksm R package
Full ksm package functions and examples
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