Package: ksm Type: Package Title: Kernel Density Estimation for Random Symmetric Positive Definite Matrices Version: 1.1 Authors@R: c(person(given="Leo", family="Belzile", role = c("aut", "cre"), email = "belzilel@gmail.com", comment = c(ORCID = "0000-0002-9135-014X")), person(given="Frederic", family="Ouimet", role = "aut", comment = c(ORCID = "0000-0001-7933-5265"))) Description: Kernel smoothing for Wishart random matrices described in Daayeb, Khardani and Ouimet (2025) , Gaussian and log-Gaussian models using least square or likelihood cross validation criteria for optimal bandwidth selection. BugReports: https://github.com/lbelzile/ksm/issues Imports: Rcpp (>= 1.0.12) Suggests: cubature, rmarkdown, knitr, tinytest LinkingTo: Rcpp, RcppArmadillo Encoding: UTF-8 License: MIT + file LICENSE VignetteBuilder: knitr LazyData: true Depends: R (>= 2.10) Config/roxygen2/version: 8.0.0 Repository: https://lbelzile.r-universe.dev Date/Publication: 2026-06-06 21:25:35 UTC RemoteUrl: https://github.com/lbelzile/ksm RemoteRef: HEAD RemoteSha: 4ae6837fe15dda24fd791159e1c6ab91f26fbb29 NeedsCompilation: yes Packaged: 2026-06-06 21:33:12 UTC; root Author: Leo Belzile [aut, cre] (ORCID: ), Frederic Ouimet [aut] (ORCID: ) Maintainer: Leo Belzile