<?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>gwangheekim.r-universe.dev</title><link>https://gwangheekim.r-universe.dev</link><description>Recent package updates in gwangheekim</description><generator>R-universe</generator><image><url>https://github.com/gwangheekim.png</url><title>R packages by gwangheekim</title><link>https://gwangheekim.r-universe.dev</link></image><lastBuildDate>Tue, 30 Jun 2026 16:30:02 GMT</lastBuildDate><item><title>[gwangheekim] lsirm12pl 2.0.3</title><author>musagh08@yonsei.ac.kr (Gwanghee Kim)</author><description>Analysis of dichotomous, ordinal, and continuous response
data using latent space item response model ('LSIRM'). Provides
1PL and 2PL 'LSIRM' for binary response data as described in
Jeon et al. (2021) &lt;doi:10.1007/s11336-021-09762-5&gt;, graded
response models ('GRM') for ordinal data (De Carolis et al.,
2025, &lt;doi:10.1080/00273171.2025.2605678&gt;), and extensions for
continuous response data. Supports Bayesian model selection
with spike-and-slab priors, adaptive MCMC algorithms, and
methods for handling missing data under missing at random
('MAR') and missing completely at random ('MCAR') assumptions.
Provides various diagnostic plots to inspect the latent space
and summaries of estimated parameters.</description><link>https://github.com/r-universe/gwangheekim/actions/runs/28470683701</link><pubDate>Tue, 30 Jun 2026 16:30:02 GMT</pubDate><r:package>lsirm12pl</r:package><r:version>2.0.3</r:version><r:status>success</r:status><r:repository>https://gwangheekim.r-universe.dev</r:repository><r:upstream>https://github.com/cran/lsirm12pl</r:upstream></item></channel></rss>