R Observatory: Metrics for networktree version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

networktree

1.0.1

Recursive Partitioning of Network Models

0packages depend

4.4Kdownloads / year

–test coverage

0/13checks pass

Overview

About

Maintained by Payton JonesFirst published 2018-12-315 releasesCRAN page ↗GitHub ↗

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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("networktree", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("paytonjjones/networktree")

Development version from paytonjjones/networktree. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-networktree

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-networktree

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-networktree

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13NOTE

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc
NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc
NOTE r-devel-windows-x86_64
NOTE r-oldrel-macos-arm64
NOTE r-oldrel-macos-x86_64
NOTE r-oldrel-windows-x86_64
NOTE r-patched-linux-x86_64
NOTE r-release-linux-x86_64
NOTE r-release-macos-arm64
NOTE r-release-macos-x86_64
NOTE r-release-windows-x86_64

Slowest check: 1.8 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

11

Dependencies · direct

Check history

NOTE2026-06-09
0 OK · 13 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
0 OK · 12 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 0%
References docs: 9%

Downloads

4.4K

CRAN downloads in the past year

Rank #10,673 · ~12/day · ~365/mo

Releases R versions

Daily download trend is not available in this view yet.

19930 days

93590 days

4.4K1 year

Compare downloads with other packages →

Also on129 r2u15 autocran41 c2d4u

Repository

GitHub ↗ paytonjjones/networktree

13Stars

2Forks

1Open issues

0Open PRs

2Releases

135Commits

3Contributors

tree-modelsnetwork-analysispsychometrics

135 commits · Last activity 2022-09-05

Stars over time

2023-11-22 · 132026-07-07 · 13

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/paytonjjones/networktree on 2026-08-09.

Continuous integration (2)

GitHub ActionsTravis CI

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (11)

partykit qgraphstatsutilsMatrixmvtnorm FormulagridgraphicsgridBase reshape2

LinkingTo (0)

none

Suggests (5)

R.rsp knitr rmarkdown fxregime zoo

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Payton Jones

Author, Maintainer

Authors (3)

Payton Jones

Author, Maintainer

Thorsten Simon

Author

Achim Zeileis

Author

Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.0.1Latest
2021-02-04 · current release · diff ↗
1.0.0
2020-12-11 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.2.2
2020-03-18 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.2.1
2019-03-09 · diff ↗
0.1.1
2018-12-31
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-12-31
Total releases: 5 / 8 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 540 KB / 3 files
Download size: 942 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Psychometric Models and Methods

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("networktree")

Format

Jones, P., Simon, T., & Zeileis, A. (2021). networktree: Recursive Partitioning of Network Models (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.networktree

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for networktree version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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