Package: matSPACE
Title: Sparse Partial Correlation Estimation for Matrix-Variate Data
Version: 0.1.0
Authors@R: c(
    person("Hyewon", "Kim", , "kimhw4126@gmail.com", role = c("aut", "cre")),
    person("Seongoh", "Park", , "seongohpark6@gmail.com", role = c("aut"))
    )
Description: Fits sparse partial correlation networks for matrix-variate
    data by extending the SPACE joint partial correlation estimation
    framework to a Kronecker-product covariance structure. All partial
    correlations are estimated simultaneously via an L1-penalized
    ('lasso') shooting algorithm within a single optimization framework,
    which preserves symmetry of the estimated network and avoids the
    tuning-parameter selection difficulties of separate node-wise
    regressions. Optional features include column reweighting, residual
    variance re-estimation across outer iterations, and automatic
    generation of a lasso penalty sequence for tuning.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, stats
Config/roxygen2/version: 8.1.0
URL: https://github.com/kimhyew1/matSPACE
BugReports: https://github.com/kimhyew1/matSPACE/issues
NeedsCompilation: yes
Packaged: 2026-09-03 06:37:58 UTC; User
Author: Hyewon Kim [aut, cre],
  Seongoh Park [aut]
Maintainer: Hyewon Kim <kimhw4126@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-12 13:40:09 UTC
