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cevcmm  

Communication-Efficient Varying Coefficient Mixed-Effects Models
View on CRAN: Click here


Download and install cevcmm package within the R console
Install from CRAN:
install.packages("cevcmm")

Install from Github:
library("remotes")
install_github("cran/cevcmm")

Install by package version:
library("remotes")
install_version("cevcmm", "0.1.4")



Attach the package and use:
library("cevcmm")
Maintained by
Lida Jalili
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-27
Latest Update: 2026-07-27
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>.
How to cite:
Lida Jalili (2026). cevcmm: Communication-Efficient Varying Coefficient Mixed-Effects Models. R package version 0.1.4, https://cran.r-project.org/web/packages/cevcmm. Accessed 22 Sep. 2026.
Previous versions and publish date:
(2026-07-27 20:10), 0.1.3 (2026-07-24 11:20)
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Complete documentation for cevcmm
Functions, R codes and Examples using the cevcmm R package
Full cevcmm package functions and examples
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