The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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>.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: partykit, qgraph, stats, utils, Matrix, mvtnorm, Formula, grid, graphics, gridBase, reshape2
Suggests: R.rsp, knitr, rmarkdown, fxregime, zoo
Published: 2021-02-04
DOI: 10.32614/CRAN.package.networktree
Author: Payton Jones ORCID iD [aut, cre], Thorsten Simon ORCID iD [aut], Achim Zeileis ORCID iD [aut]
Maintainer: Payton Jones <paytonjjones at gmail.com>
BugReports: https://github.com/paytonjjones/networktree/issues
License: GPL-2 | GPL-3
URL: https://paytonjjones.github.io/networktree/
NeedsCompilation: no
Citation: networktree citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: networktree results

Documentation:

Reference manual: networktree.pdf

Downloads:

Package source: networktree_1.0.1.tar.gz
Windows binaries: r-devel: networktree_1.0.1.zip, r-release: networktree_1.0.1.zip, r-oldrel: networktree_1.0.1.zip
macOS binaries: r-release (arm64): networktree_1.0.1.tgz, r-oldrel (arm64): networktree_1.0.1.tgz, r-release (x86_64): networktree_1.0.1.tgz, r-oldrel (x86_64): networktree_1.0.1.tgz
Old sources: networktree archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=networktree to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.