Estimates psychological networks by group for research in
the social sciences and complements them with psychometric modeling. It
summarises centrality and bridge centrality indices, evaluates the
stability of edges and centrality from bootstrap results, refines
items by the stability of exploratory graph analysis (EGA), and plots
networks with the variance explained of each node. It also estimates
an a priori sample size for EGA through Monte Carlo simulation and
includes an interactive application to plan the sample size of a
network study. Methods follow Epskamp, Borsboom
and Fried (2018) <doi:10.3758/s13428-017-0862-1> and Golino and
Epskamp (2017) <doi:10.1371/journal.pone.0174035>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
bootnet, Cairo, correlation, cowplot, dplyr, EGAnet, forcats, future, future.apply, ggforce, ggplot2 (≥ 3.4.0), ggplotify, graphics, grDevices, grid, gridExtra, lavaan, magick, mgm, networktools, patchwork, png, progressr, purrr, qgraph, RColorBrewer, rlang, scales, semPlot, stats, tibble, tidyr, tidyselect, tools, utils, wesanderson |
| Suggests: |
bslib, powerly, psychonetrics, shiny, viridis |
| Published: |
2026-10-15 |
| DOI: |
10.32614/CRAN.package.InterconectaR (may not be active yet) |
| Author: |
José Ventura-León 
[aut, cre] |
| Maintainer: |
José Ventura-León <jventuraleon at gmail.com> |
| BugReports: |
https://github.com/jventural/InterconectaR/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/jventural/InterconectaR |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
InterconectaR results |