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lame  

Longitudinal Additive and Multiplicative Effects Models for Networks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lame", "1.3.4")



Attach the package and use:
library("lame")
Maintained by
Shahryar Minhas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-04
Latest Update: 2026-08-04
Description:
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'.
How to cite:
Shahryar Minhas (2026). lame: Longitudinal Additive and Multiplicative Effects Models for Networks. R package version 1.3.4, https://cran.r-project.org/web/packages/lame. Accessed 24 Oct. 2026.
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