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ksm: Kernel Density Estimation for Random Symmetric Positive Definite Matrices

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.

Version: 1.0
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.12)
LinkingTo: Rcpp, RcppArmadillo
Suggests: cubature, tinytest
Published: 2025-10-28
DOI: 10.32614/CRAN.package.ksm (may not be active yet)
Author: Leo Belzile ORCID iD [aut, cre], Frederic Ouimet ORCID iD [aut]
Maintainer: Leo Belzile <belzilel at gmail.com>
BugReports: https://github.com/lbelzile/ksm/issues
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README
CRAN checks: ksm results

Documentation:

Reference manual: ksm.html , ksm.pdf

Downloads:

Package source: ksm_1.0.tar.gz
Windows binaries: r-devel: not available, r-release: ksm_1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): ksm_1.0.tgz, r-oldrel (arm64): ksm_1.0.tgz, r-release (x86_64): ksm_1.0.tgz, r-oldrel (x86_64): ksm_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ksm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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