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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "cevcmm" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'cevcmm: Communication-Efficient Varying Coefficient Mixed-Effects Models'
version: 0.1.4
doi: 10.32614/CRAN.package.cevcmm
abstract: Scalable inference for Varying Coefficient Mixed-Effects Models (VCMMs)
  with large, correlated random effects. Implements sufficient-statistics, one-step
  communication-efficient surrogate likelihood, and SVD-stabilized (Singular Value
  Decomposition) estimators with Kronecker and separable covariance structures. Implements
  the methodology of Jalili and Lin (2025) <https://doi.org/10.48550/arXiv.2511.12732>.
authors:
- family-names: Jalili
  given-names: Lida
  email: lchalangarjalilideh1@gsu.edu
- family-names: Lin
  given-names: Li-Hsiang
  email: lhlin@gsu.edu
repository: https://lidajalili.r-universe.dev
repository-code: https://github.com/lidajalili/cevcmm
commit: 13ed100df8f2674b826b52cf7a12cce466e9a89d
url: https://lidajalili.github.io/cevcmm/
date-released: '2026-07-27'
contact:
- family-names: Jalili
  given-names: Lida
  email: lchalangarjalilideh1@gsu.edu