DESCRIPTION

Package: networktree
Title: Recursive Partitioning of Network Models
Version: 1.0.1.9000
Date: 2021-2-4
Authors@R: c(person("Payton", "Jones", email = "paytonjjones@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6513-8498")),
             person(given = "Thorsten", family = "Simon", role = "aut", email = "Thorsten.Simon@uibk.ac.at", comment = c(ORCID = "0000-0002-3778-7738")),
             person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org", comment = c(ORCID = "0000-0003-0918-3766")))
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) <doi:10.1007/s11336-020-09731-4>. 
Depends: R (>= 3.5.0)
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Imports: partykit, qgraph, stats, utils, Matrix, mvtnorm, Formula, grid, graphics, gridBase, reshape2
RoxygenNote: 7.1.1
Suggests: 
    R.rsp,
    knitr,
    rmarkdown,
    fxregime,
    zoo,
    testthat
URL: https://paytonjjones.github.io/networktree/
BugReports: https://github.com/paytonjjones/networktree/issues