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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>.
Getting started
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Package details |
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| Author | Payton Jones [aut, cre] (<https://orcid.org/0000-0001-6513-8498>), Thorsten Simon [aut] (<https://orcid.org/0000-0002-3778-7738>), Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>) |
| Maintainer | Payton Jones <paytonjjones@gmail.com> |
| License | GPL-2 | GPL-3 |
| Version | 1.0.1 |
| URL | https://paytonjjones.github.io/networktree/ |
| Package repository | View on CRAN |
| Installation |
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