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networktree (version 1.0.1)

Recursive Partitioning of Network Models

Description

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) .

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Version

Install

install.packages('networktree')

Monthly Downloads

209

Version

1.0.1

License

GPL-2 | GPL-3

Maintainer

Payton Jones

Last Published

February 4th, 2021

Functions in networktree (1.0.1)

workaholic

Workaholism and Psychiatric Symptoms
cortrafo

cortrafo
comparetree

comparetree
dass

Depression Anxiety and Stress Scale
getnetwork

getnetwork
plot.networktree

Plotting 'networktree' objects
predict.networktree

Predict 'networktree' objects
mvnfit

Maximum Likelihood Estimation for Multivariate Normal Model
networktree

networktree: Partitioning of network models
print.networktree

Printing 'networktree' objects
tipi

Ten Item Personality Questionnaire