<?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>canboynukara.r-universe.dev</title><link>https://canboynukara.r-universe.dev</link><description>Recent package updates in canboynukara</description><generator>R-universe</generator><image><url>https://github.com/canboynukara.png</url><title>R packages by canboynukara</title><link>https://canboynukara.r-universe.dev</link></image><lastBuildDate>Wed, 17 Jun 2026 20:20:16 GMT</lastBuildDate><item><title>[canboynukara] rolescry 0.1.0</title><author>canboynukara1@gmail.com (Can Boynukara)</author><description>Deterministic, name-blind detection of variable roles
(group, outcome, survival time and event, paired and agreement
measurements, repeated measures, scale items, subject
identifier, covariate) in tabular data. Roles are assigned from
each column's information-theoretic signature -- Shannon
entropy, normalized mutual information, and distributional
shape -- rather than from column names, so renaming columns to
'col_1', 'col_2', ... does not change the result (&quot;Data
inspice, non nomen&quot;). An optional, capped name-based hint and
automatic header-row detection are also provided. No large
language models and no external data transmission. Extracted
from the 'MDStatR' biostatistics engine; see Boynukara (2026)
&lt;doi:10.5281/zenodo.20707791&gt;.</description><link>https://github.com/r-universe/canboynukara/actions/runs/27724591566</link><pubDate>Wed, 17 Jun 2026 20:20:16 GMT</pubDate><r:package>rolescry</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://canboynukara.r-universe.dev</r:repository><r:upstream>https://github.com/canboynukara/rolescry</r:upstream><r:article><r:source>rolescry.Rmd</r:source><r:filename>rolescry.html</r:filename><r:title>Name-blind variable-role detection with rolescry</r:title><r:created>2026-06-17 19:06:01</r:created><r:modified>2026-06-17 19:06:01</r:modified></r:article></item></channel></rss>