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)
    <doi:10.48550/arXiv.2511.12732>.
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: 2026-07-27 14:42:48 UTC; lidajalili
Author: Lida Jalili [aut, cre],
  Li-Hsiang Lin [aut]
Maintainer: Lida Jalili <lchalangarjalilideh1@gsu.edu>
Repository: CRAN
Date/Publication: 2026-07-27 18:10:02 UTC
Built: R 4.6.1; aarch64-apple-darwin23; 2026-07-27 21:25:11 UTC; unix
Archs: cevcmm.so.dSYM
