Package: cevcmm Title: Communication-Efficient Varying Coefficient Mixed-Effects Models Version: 0.1.4 Authors@R: c( person("Lida", "Jalili", email = "lchalangarjalilideh1@gsu.edu", role = c("aut", "cre")), person("Li-Hsiang", "Lin", email = "lhlin@gsu.edu", role = "aut")) Description: 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) . License: GPL (>= 3) Encoding: UTF-8 VignetteBuilder: knitr URL: https://lidajalili.github.io/cevcmm/, https://github.com/lidajalili/cevcmm BugReports: https://github.com/lidajalili/cevcmm/issues Depends: R (>= 4.0.0) Imports: splines, Rcpp (>= 1.0.0) LinkingTo: Rcpp, RcppArmadillo Suggests: devtools, microbenchmark, RSpectra, testthat (>= 3.0.0), knitr, rmarkdown Config/testthat/edition: 3 Config/roxygen2/version: 8.0.0 NeedsCompilation: yes Packaged: 2026-10-18 10:13:50 UTC; root Author: Lida Jalili [aut, cre], Li-Hsiang Lin [aut] Maintainer: Lida Jalili Repository: https://cran.r-universe.dev Date/Publication: 2026-07-27 18:10:02 UTC RemoteUrl: https://github.com/cran/cevcmm RemoteRef: HEAD RemoteSha: 6cdd6747f5d2c0a9e70e1245b244b645dc72bdbf