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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