Introducing ResIN: An Applied Tutorial to the Response-Item-Networks Package for R

We introduce ResIN, a package for the R programming language designed to estimate, visualize, and analyze Response-Item Networks (ResIN ). ResIN is an increasingly popular method for modeling complex socio-political attitude systems as sparse, spatially interpretable networks. The package simplifies and unifies the underlying workflow while offering a range of convenience features, including network plotting, community detection, psychometric score extraction, bootstrap-based uncertainty estimation, and the export of ResIN objects to other statistical software environments. We provide an overview of the ResIN method, its computational implementation in R, and demonstrate the utility of key package features through an applied replication tutorial based on a recent study by Lüders et al., 2024

Authors

Institutions

Publication Details

Published
2026-10-30
DOI
https://doi.org/10.31234/osf.io/7jvqc_v2
Primary Topic
Psychometric Methodologies and Testing
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Introducing ResIN: An Applied Tutorial to the Response-Item-Networks Package for R

Dino Carpentras, Adrian Lueders, Philip Warncke, Michael Quayle
1 links
Psychometric Methodologies and Testing
preprint

Introducing ResIN: An Applied Tutorial to the Response-Item-Networks Package for R

Dino Carpentras, Adrian Lueders, Philip Warncke, Michael Quayle
preprint en

Abstract

We introduce ResIN, a package for the R programming language designed to estimate, visualize, and analyze Response-Item Networks (ResIN ). ResIN is an increasingly popular method for modeling complex socio-political attitude systems as sparse, spatially interpretable networks. The package simplifies and unifies the underlying workflow while offering a range of convenience features, including network plotting, community detection, psychometric score extraction, bootstrap-based uncertainty estimation, and the export of ResIN objects to other statistical software environments. We provide an overview of the ResIN method, its computational implementation in R, and demonstrate the utility of key package features through an applied replication tutorial based on a recent study by Lüders et al., 2024

University of North Carolina at Chapel Hill (US)
Psychometric Methodologies and Testing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon