gllvm
Generalized Linear Latent Variable Models
Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either the Laplace method, variational approximations, or extended variational approximations, implemented via TMB (Kristensen et al. (2016), <doi:10.18637/jss.v070.i05>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.5 |
rolling linux/jammy R-4.5 | gllvm_2.0.5.tar.gz |
3.6 MiB |
2.0.5 |
rolling linux/noble R-4.5 | gllvm_2.0.5.tar.gz |
3.7 MiB |
2.0.5 |
rolling source/ R- | gllvm_2.0.5.tar.gz |
3.0 MiB |
2.0.5 |
latest linux/jammy R-4.5 | gllvm_2.0.5.tar.gz |
3.6 MiB |
2.0.5 |
latest linux/noble R-4.5 | gllvm_2.0.5.tar.gz |
3.7 MiB |
2.0.5 |
latest source/ R- | gllvm_2.0.5.tar.gz |
3.0 MiB |
2.0.5 |
2026-04-26 source/ R- | gllvm_2.0.5.tar.gz |
3.0 MiB |
2.0.5 |
2026-04-23 source/ R- | gllvm_2.0.5.tar.gz |
3.0 MiB |
2.0.5 |
2026-04-09 windows/windows R-4.5 | gllvm_2.0.5.zip |
3.9 MiB |
2.0.2 |
2025-04-20 source/ R- | gllvm_2.0.2.tar.gz |
3.0 MiB |