CRAN/E | networktree

networktree

Recursive Partitioning of Network Models

Installation

About

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.

Citation networktree citation info
paytonjjones.github.io/networktree/
Bug report File report

Key Metrics

Version 1.0.1
R ≥ 3.5.0
Published 2021-02-04 1148 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks networktree results

Downloads

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Maintainer

Maintainer

Payton Jones

paytonjjones@gmail.com

Authors

Payton Jones

aut / cre

Thorsten Simon

aut

Achim Zeileis

aut

Material

NEWS
Reference manual
Package source

In Views

Psychometrics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

networktree archive

Depends

R ≥ 3.5.0

Imports

partykit
qgraph
stats
utils
Matrix
mvtnorm
Formula
grid
graphics
gridBase
reshape2

Suggests

R.rsp
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fxregime
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