Package: blox
Type: Package
Title: Block Diagonal Matrix Approximation
Version: 0.0.1
Authors@R: 
    person(given = "Jan O.", family = "Bauer", email = "j.bauer@vu.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7123-4507"))
Maintainer: Jan O. Bauer <j.bauer@vu.nl>
Description: Finds the best block diagonal matrix approximation of a symmetric matrix. This can be exploited for divisive hierarchical clustering using singular vectors, named HC-SVD. The method is described in Bauer (202Xa) <doi:10.48550/arXiv.2308.06820>.
License: GPL (>= 2)
Imports: matrixStats, Rcpp, RcppArmadillo
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: corrplot, knitr, psych, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-09-24 09:00:39 UTC; jan
Author: Jan O. Bauer [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-7123-4507>)
Repository: CRAN
Date/Publication: 2025-09-30 09:00:13 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 17:07:48 UTC; unix
Archs: blox.so.dSYM
