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 [aut, cre], Thorsten Simon [aut], Achim Zeileis [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=networktree to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4