lame
Longitudinal Additive and Multiplicative Effects Models for Networks
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'.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.4 |
rolling linux/jammy R-4.5 | lame_1.3.4.tar.gz |
5.9 MiB |
1.3.4 |
rolling linux/noble R-4.5 | lame_1.3.4.tar.gz |
5.9 MiB |
1.3.4 |
rolling source/ R- | lame_1.3.4.tar.gz |
3.9 MiB |
1.3.4 |
latest linux/jammy R-4.5 | lame_1.3.4.tar.gz |
5.9 MiB |
1.3.4 |
latest linux/noble R-4.5 | lame_1.3.4.tar.gz |
5.9 MiB |
1.3.4 |
latest source/ R- | lame_1.3.4.tar.gz |
3.9 MiB |
1.3.4 |
2026-04-23 source/ R- | lame_1.3.4.tar.gz |
0 B |