<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>jventural.r-universe.dev</title><link>https://jventural.r-universe.dev</link><description>Recent package updates in jventural</description><generator>R-universe</generator><image><url>https://github.com/jventural.png</url><title>R packages by jventural</title><link>https://jventural.r-universe.dev</link></image><lastBuildDate>Mon, 05 Oct 2026 11:26:12 GMT</lastBuildDate><item><title>[jventural] InterconectaR 1.0.1</title><author>jventuraleon@gmail.com (José Ventura-León)</author><description>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)
&lt;doi:10.3758/s13428-017-0862-1&gt; and Golino and Epskamp (2017)
&lt;doi:10.1371/journal.pone.0174035&gt;.</description><link>https://github.com/r-universe/jventural/actions/runs/38904059504</link><pubDate>Mon, 05 Oct 2026 11:26:12 GMT</pubDate><r:package>InterconectaR</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://jventural.r-universe.dev</r:repository><r:upstream>https://github.com/jventural/interconectar</r:upstream></item><item><title>[jventural] ThesiStats 1.1.0</title><author>jventuraleon@gmail.com (José Ventura-León)</author><description>Provides helpers for the analyses that quantitative theses
in the social and behavioral sciences repeat: renaming and
scoring items, recoding Likert responses, cleaning
sociodemographic variables written in Spanish (age, academic
term, degree and university), descriptive statistics,
univariate and multivariate normality checks, omega reliability
from ordinal confirmatory factor models, correlation matrices
in table format, and two-group or several-group comparisons
with effect sizes.</description><link>https://github.com/r-universe/jventural/actions/runs/38137820184</link><pubDate>Wed, 23 Sep 2026 18:26:48 GMT</pubDate><r:package>ThesiStats</r:package><r:version>1.1.0</r:version><r:status>success</r:status><r:repository>https://jventural.r-universe.dev</r:repository><r:upstream>https://github.com/jventural/thesistats</r:upstream></item><item><title>[jventural] PsyMetricTools 1.2.3</title><author>jventuraleon@gmail.com (Jose Ventura-Leon)</author><description>Provides tools for psychometric and statistical analysis
in social sciences, including functions for data preprocessing,
factor analysis, reliability testing, descriptive statistics,
visualization of Likert-scale items, measurement invariance
analysis, and handling of multi-class imbalance. Facilitates
advanced data analysis tasks commonly encountered in
psychological and educational research. Includes an updated
easy_invariance() function for ordinal data following Wu and
Estabrook (2016) &lt;doi:10.1037/met0000051&gt;.</description><link>https://github.com/r-universe/jventural/actions/runs/35894436217</link><pubDate>Wed, 23 Sep 2026 13:15:35 GMT</pubDate><r:package>PsyMetricTools</r:package><r:version>1.2.3</r:version><r:status>success</r:status><r:repository>https://jventural.r-universe.dev</r:repository><r:upstream>https://github.com/jventural/psymetrictools</r:upstream></item></channel></rss>