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

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network-analysispsychometricstree-models

5 exports 13 stars 1.87 score 92 dependencies 1 mentions 11 scripts 250 downloads

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

Exports:comparetreecortrafogetnetworkmvnfitnetworktree

Dependencies:abindbackportsbase64encbslibcachemcheckmatecliclustercolorspacecorpcorcpp11data.tabledigestevaluatefansifarverfastmapfdrtoolfontawesomeforeignFormulafsggplot2glassoglueGPArotationgridBasegridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphinumisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlibcoinlifecyclemagrittrMASSMatrixmemoisemgcvmimemnormtmunsellmvtnormnlmennetnumDerivpartykitpbapplypbivnormpillarpkgconfigplyrpngpsychqgraphquadprogR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownrpartrstudioapisassscalesstringistringrsurvivaltibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml