networktree
Recursive Partitioning of Network Models
Network trees recursively partition the data with respect to covariates. Two network tree algorithms are available: model-based trees based on a multivariate normal model and nonparametric trees based on covariance structures. After partitioning, correlation-based networks (psychometric networks) can be fit on the partitioned data. For details see Jones, Mair, Simon, & Zeileis (2020) <doi:10.1007/s11336-020-09731-4>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | networktree_1.0.1.tar.gz |
1.2 MiB |
1.0.1 |
rolling linux/noble R-4.5 | networktree_1.0.1.tar.gz |
1.2 MiB |
1.0.1 |
rolling source/ R- | networktree_1.0.1.tar.gz |
934.9 KiB |
1.0.1 |
latest linux/jammy R-4.5 | networktree_1.0.1.tar.gz |
1.2 MiB |
1.0.1 |
latest linux/noble R-4.5 | networktree_1.0.1.tar.gz |
1.2 MiB |
1.0.1 |
latest source/ R- | networktree_1.0.1.tar.gz |
934.9 KiB |
1.0.1 |
2026-04-26 source/ R- | networktree_1.0.1.tar.gz |
934.9 KiB |
1.0.1 |
2026-04-23 source/ R- | networktree_1.0.1.tar.gz |
934.9 KiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | networktree_1.0.1.zip |
1.2 MiB |
1.0.1 |
2025-04-20 source/ R- | networktree_1.0.1.tar.gz |
934.9 KiB |