lvnet
Latent Variable Network Modeling
Estimate, fit and compare Structural Equation Models (SEM) and network models (Gaussian Graphical Models; GGM) using OpenMx. Allows for two possible generalizations to include GGMs in SEM: GGMs can be used between latent variables (latent network modeling; LNM) or between residuals (residual network modeling; RNM). For details, see Epskamp, Rhemtulla and Borsboom (2017) <doi:10.1007/s11336-017-9557-x>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.5 |
rolling linux/jammy R-4.5 | lvnet_0.3.5.tar.gz |
149.0 KiB |
0.3.5 |
rolling linux/noble R-4.5 | lvnet_0.3.5.tar.gz |
148.9 KiB |
0.3.5 |
rolling source/ R- | lvnet_0.3.5.tar.gz |
36.8 KiB |
0.3.5 |
latest linux/jammy R-4.5 | lvnet_0.3.5.tar.gz |
149.0 KiB |
0.3.5 |
latest linux/noble R-4.5 | lvnet_0.3.5.tar.gz |
148.9 KiB |
0.3.5 |
latest source/ R- | lvnet_0.3.5.tar.gz |
36.8 KiB |
0.3.5 |
2026-04-26 source/ R- | lvnet_0.3.5.tar.gz |
36.8 KiB |
0.3.5 |
2026-04-23 source/ R- | lvnet_0.3.5.tar.gz |
36.8 KiB |
0.3.5 |
2026-04-09 windows/windows R-4.5 | lvnet_0.3.5.zip |
150.9 KiB |
0.3.5 |
2025-04-20 source/ R- | lvnet_0.3.5.tar.gz |
36.8 KiB |