# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "lame" in publications use:' type: software license: MIT title: 'lame: Longitudinal Additive and Multiplicative Effects Models for Networks' version: 1.3.5 identifiers: - type: doi value: 10.32614/CRAN.package.lame abstract: '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) ; Durante and Dunson (2014) ); (3) Handling of changing actor compositions across time periods in longitudinal models; (4) Performance improvements through C++ implementations via ''Rcpp'' and ''RcppArmadillo''.' authors: - family-names: Dorff given-names: Cassy - family-names: Minhas given-names: Shahryar email: minhassh@msu.edu - family-names: Salau given-names: Tosin preferred-citation: type: manual title: 'lame: Longitudinal Additive and Multiplicative Effects Models for Networks' authors: - family-names: Dorff given-names: Cassy - family-names: Minhas given-names: Shahryar email: minhassh@msu.edu - family-names: Salau given-names: Tosin year: '2026' notes: R package version 1.3.5 url: https://github.com/netify-dev/lame repository: https://netify-dev.r-universe.dev repository-code: https://github.com/netify-dev/lame commit: ef609b20b7b204fb4855022729e22dd8d22405da url: https://netify-dev.github.io/lame/ date-released: '2026-09-08' contact: - family-names: Minhas given-names: Shahryar email: minhassh@msu.edu