Package: matSPACE
Title: Sparse Partial Correlation Estimation for Matrix-Variate Data
Version: 0.2.0
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
Roxygen: list(markdown = TRUE)
LinkingTo: Rcpp
Imports: Rcpp, stats
Config/roxygen2/version: 8.1.0
URL: https://github.com/kimhyew1/matSPACE
BugReports: https://github.com/kimhyew1/matSPACE/issues
Repository: https://kimhyew1.r-universe.dev
Date/Publication: 2026-09-15 00:02:37 UTC
RemoteUrl: https://github.com/kimhyew1/matspace
RemoteRef: HEAD
RemoteSha: dc06537aefbb0188d2bd8747f5bfc3356c12c934
NeedsCompilation: yes
Packaged: 2026-10-15 06:16:39 UTC; root
Author: Hyewon Kim [aut, cre],
  Seongoh Park [aut]
Maintainer: Hyewon Kim <kimhw4126@gmail.com>