Longitudinal Additive and Multiplicative Effects Models for Networks R package lame version 1.3.4 Additive and multiplicative effects models for both cross-sectional and longitudinal network analysis. The package provides two main functions: ame() for cross-sectional networks and lame() for longitudinal networks. It supports square and rectangular network structures. Key features include: (1) Cross-sectional network analysis via ame() with support for binary, continuous, ordinal, and count data; (2) Longitudinal network analysis via lame() with additive sender/receiver and multiplicative latent-factor effects that can evolve over time through AR(1) processes (Sewell and Chen (2015) <doi:10.1080/01621459.2014.988214>; Durante and Dunson (2014) <doi:10.1093/biomet/asu040>); (3) Handling of changing actor compositions across time periods in longitudinal models; (4) Performance improvements through C++ implementations via 'Rcpp' and 'RcppArmadillo'. Software Depends: R (>= 3.5.0) Imports: Rcpp, ggplot2, ggrepel, ggforce, gridExtra, coda, patchwork, cli, MASS, Matrix, abind, netify (>= 1.5.3), graphics, grDevices, parallel, stats, utils LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, testthat (>= 3.0.0), igraph, network, posterior, loo, digest, tibble, broom, generics, pROC, precrec, statmod, dplyr, modelsummary, callr, amen Shahryar Minhas <minhassh@msu.edu> Comprehensive R Archive Network (CRAN) Cassy Dorff [aut], Shahryar Minhas [aut, cre], Tosin Salau [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=lame/LICENSE) 2026-08-04 application/tgz https://CRAN.R-project.org/package=lame doi:10.32614/CRAN.package.lame