cevcmm: Communication-Efficient Varying Coefficient Mixed-Effects Models

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>.

Version: 0.1.3
Depends: R (≥ 4.0.0)
Imports: splines, Rcpp (≥ 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: devtools, microbenchmark, RSpectra, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-07-24
DOI: 10.32614/CRAN.package.cevcmm (may not be active yet)
Author: Lida Jalili [aut, cre], Li-Hsiang Lin [aut]
Maintainer: Lida Jalili <lchalangarjalilideh1 at gsu.edu>
BugReports: https://github.com/lidajalili/cevcmm/issues
License: GPL (≥ 3)
URL: https://lidajalili.github.io/cevcmm/, https://github.com/lidajalili/cevcmm
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: cevcmm results

Documentation:

Reference manual: cevcmm.html , cevcmm.pdf
Vignettes: Distributed fitting with cevcmm (source, R code)
Getting started with cevcmm (source, R code)
OD migration with Kronecker covariance (source, R code)

Downloads:

Package source: cevcmm_0.1.3.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): cevcmm_0.1.3.tgz, r-oldrel (arm64): cevcmm_0.1.3.tgz, r-release (x86_64): cevcmm_0.1.3.tgz, r-oldrel (x86_64): cevcmm_0.1.3.tgz

Linking:

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