Package: ksm
Type: Package
Title: Kernel Density Estimation for Random Symmetric Positive Definite
        Matrices
Version: 1.0
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) <doi:10.48550/arXiv.2506.08816>, 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, tinytest
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
License: MIT + file LICENSE
RoxygenNote: 7.3.3
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2025-10-23 15:15:27 UTC; lbelzile
Author: Leo Belzile [aut, cre] (ORCID: <https://orcid.org/0000-0002-9135-014X>),
  Frederic Ouimet [aut] (ORCID: <https://orcid.org/0000-0001-7933-5265>)
Maintainer: Leo Belzile <belzilel@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 12:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 19:56:00 UTC; unix
Archs: ksm.so.dSYM
