Invariance Partial Pruning Test
Overview
An implementation of the Invariance Partial Pruning (IVPP) approach described in Du, X., Johnson, S. U., Epskamp, S. (2025) The Invariance Partial Pruning Approach to The Network Comparison in Longitudinal Data. IVPP is a two-step method that first test for global network structural difference with invariance test and then inspect specific edge difference with partial pruning. The package also allows you to compute centrality measures and use radar chart to plot. Analysis of bridge centralities by community pairs is also possible (e.g., the bridge strength from depression to anxiety, and from depression to panic disorder).
- added similarity score (sF) as effect size measure
- added the functions to compute and plot centrality
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-11
Show 4 earlier changesHide 4 earlier changes
- WARNING12 OK, 1 WARNING2026-05-10
- OK13 OK2026-05-02
- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-03-10
Documentation
- Help pages
- 10 (1 internal)includes a package overview page
- Examples that run
- 75%6 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 89%
- Documented parameters
- 98%
- Return-value docs
- 89%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 37
- Median days to close, 50 most recently updated closed PRs
- 0
Issues over time
Commits over time
6 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/xinkaidupsy/ivpp on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Installing IVPP adds 155 packages (77 with compiled code, 107 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.
Code & Tests
People & History
Package metadata
- First published
- 2025-02-11
- Total releases
- 4 / 1 yrs
- License
- GPL (>= 3) OSI · relicensed from MIT + file LICENSE in 1.1.0
- Minimum R
- ≥ 4.3.0
- Download size
- 23 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("IVPP")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.