Package: networktree 1.0.1.9000

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>.

Authors:Payton Jones [aut, cre], Thorsten Simon [aut], Achim Zeileis [aut]

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NEWS

# Install 'networktree' in R:
install.packages('networktree', repos = c('https://paytonjjones.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/paytonjjones/networktree/issues

Pkgdown site:https://paytonjjones.github.io

Datasets:
  • dass - Depression Anxiety and Stress Scale
  • tipi - Ten Item Personality Questionnaire
  • workaholic - Workaholism and Psychiatric Symptoms

On CRAN:

network-analysispsychometricstree-models

3.85 score 13 stars 11 scripts 218 downloads 1 mentions 5 exports 92 dependencies

Last updated 2 years agofrom:9479f95a1c. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKDec 23 2024
R-4.5-winNOTEDec 23 2024
R-4.5-linuxNOTEDec 23 2024
R-4.4-winNOTEDec 23 2024
R-4.4-macNOTEDec 23 2024
R-4.3-winNOTEDec 23 2024
R-4.3-macNOTEDec 23 2024

Exports:comparetreecortrafogetnetworkmvnfitnetworktree

Dependencies:abindbackportsbase64encbslibcachemcheckmatecliclustercolorspacecorpcorcpp11data.tabledigestevaluatefansifarverfastmapfdrtoolfontawesomeforeignFormulafsggplot2glassoglueGPArotationgridBasegridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphinumisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlibcoinlifecyclemagrittrMASSMatrixmemoisemgcvmimemnormtmunsellmvtnormnlmennetnumDerivpartykitpbapplypbivnormpillarpkgconfigplyrpngpsychqgraphquadprogR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownrpartrstudioapisassscalesstringistringrsurvivaltibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml