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
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libjpeg-dev
        libpng-dev libuv1-dev libxml2-dev
Repository: https://paytonjjones.r-universe.dev
Date/Publication: 2022-09-05 18:40:46 UTC
RemoteUrl: https://github.com/paytonjjones/networktree
RemoteRef: HEAD
RemoteSha: 9479f95a1cbe43bd41aa3098bac372fcc337b64d
NeedsCompilation: no
Packaged: 2026-07-03 17:06:15 UTC; root
Author: Payton Jones [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-6513-8498>),
  Thorsten Simon [aut] (ORCID: <https://orcid.org/0000-0002-3778-7738>),
  Achim Zeileis [aut] (ORCID: <https://orcid.org/0000-0003-0918-3766>)
Maintainer: Payton Jones <paytonjjones@gmail.com>