Communication-Efficient Varying Coefficient Mixed-Effects Models R package cevcmm version 0.1.4 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) <doi:10.48550/arXiv.2511.12732>. Software Depends: R (>= 4.0.0) Imports: splines, Rcpp (>= 1.0.0) LinkingTo: Rcpp, RcppArmadillo Suggests: devtools, microbenchmark, RSpectra, testthat (>= 3.0.0), knitr, rmarkdown Lida Jalili <lchalangarjalilideh1@gsu.edu> Comprehensive R Archive Network (CRAN) Lida Jalili [aut, cre], Li-Hsiang Lin [aut] GPL (>= 3) 2026-07-27 application/tgz https://CRAN.R-project.org/package=cevcmm doi:10.32614/CRAN.package.cevcmm