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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "matSPACE" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'matSPACE: Sparse Partial Correlation Estimation for Matrix-Variate Data'
version: 0.2.0
doi: 10.32614/CRAN.package.matSPACE
abstract: 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.
authors:
- family-names: Kim
  given-names: Hyewon
  email: kimhw4126@gmail.com
- family-names: Park
  given-names: Seongoh
  email: seongohpark6@gmail.com
repository: https://kimhyew1.r-universe.dev
repository-code: https://github.com/kimhyew1/matSPACE
commit: dc06537aefbb0188d2bd8747f5bfc3356c12c934
url: https://github.com/kimhyew1/matSPACE
date-released: '2026-09-15'
contact:
- family-names: Kim
  given-names: Hyewon
  email: kimhw4126@gmail.com