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networktree  

Recursive Partitioning of Network Models
View on CRAN: Click here


Download and install networktree package within the R console
Install from CRAN:
install.packages("networktree")

Install from Github:
library("remotes")
install_github("cran/networktree")

Install by package version:
library("remotes")
install_version("networktree", "1.0.1")



Attach the package and use:
library("networktree")
Maintained by
Payton Jones
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-31
Latest Update: 2021-02-04
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) .
How to cite:
Payton Jones (2018). networktree: Recursive Partitioning of Network Models. R package version 1.0.1, https://cran.r-project.org/web/packages/networktree
Previous versions and publish date:
0.1.1 (2018-12-31 23:00), 0.2.1 (2019-03-09 14:10), 0.2.2 (2020-03-18 20:30), 1.0.0 (2020-12-11 23:10)
Other packages that cited networktree R package
View networktree citation profile
Other R packages that networktree depends, imports, suggests or enhances
Functions, R codes and Examples using the networktree R package
Some associated functions: comparetree . cortrafo . dass . getnetwork . mvnfit . networktree . plot.networktree . predict.networktree . print.networktree . tipi . workaholic . 
Some associated R codes: comparetree.R . cortrafo.R . datadocumentation.R . getnetwork.R . hiddenfunctions.R . imports.R . mvnfit.R . networktree.R .  Full networktree package functions and examples
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