<?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>rudth.r-universe.dev</title><link>https://rudth.r-universe.dev</link><description>Recent package updates in rudth</description><generator>R-universe</generator><image><url>https://github.com/rudth.png</url><title>R packages by rudth</title><link>https://rudth.r-universe.dev</link></image><lastBuildDate>Wed, 15 Oct 2025 20:36:02 GMT</lastBuildDate><item><title>[rudth] CoinMinD 1.2.1</title><author>sisufive@gmail.com (Subbiah M)</author><description>Several authors have proposed methods for constructing
simultaneous confidence intervals for multinomial proportions.
The package implements seven classical approaches—Wilson,
Quesenberry and Hurst, Goodman, Wald (with and without
continuity correction), Fitzpatrick and Scott, and Sison and
Glaz—along with Bayesian methods based on Dirichlet models.
Both equal and unequal Dirichlet priors are supported,
providing a broad framework for inference, data analysis, and
sensitivity evaluation.</description><link>https://github.com/r-universe/rudth/actions/runs/25846024282</link><pubDate>Wed, 15 Oct 2025 20:36:02 GMT</pubDate><r:package>CoinMinD</r:package><r:version>1.2.1</r:version><r:status>success</r:status><r:repository>https://rudth.r-universe.dev</r:repository><r:upstream>https://github.com/cran/CoinMinD</r:upstream></item><item><title>[rudth] RAP 1.2.2</title><author>sisufive@gmail.com (Subbiah M)</author><description>Implements reversal association pattern analysis for
categorical data. Detects sub-tables exhibiting reversal
associations in contingency tables, provides visualization
tools, and supports simulation-based validation for complex I ×
J tables.</description><link>https://github.com/r-universe/rudth/actions/runs/25912313345</link><pubDate>Fri, 10 Oct 2025 19:30:07 GMT</pubDate><r:package>RAP</r:package><r:version>1.2.2</r:version><r:status>success</r:status><r:repository>https://rudth.r-universe.dev</r:repository><r:upstream>https://github.com/cran/RAP</r:upstream></item><item><title>[rudth] nose 1.0.5</title><author>sisufive@gmail.com (Subbiah M)</author><description>Provides functions for classifying sparseness in 2 x 2
categorical data where one or more cells have zero counts. The
classification uses three widely applied summary measures: Risk
Difference (RD), Relative Risk (RR), and Odds Ratio (OR). Helps
in selecting suitable continuity corrections for zero cells in
multi-centre or meta-analysis studies. Also supports
sensitivity analysis and can detect phenomena such as Simpson's
paradox. The methodology is based on Subbiah and Srinivasan
(2008) &lt;doi:10.1016/j.spl.2008.06.023&gt;.</description><link>https://github.com/r-universe/rudth/actions/runs/26027853329</link><pubDate>Mon, 06 Oct 2025 05:40:02 GMT</pubDate><r:package>nose</r:package><r:version>1.0.5</r:version><r:status>success</r:status><r:repository>https://rudth.r-universe.dev</r:repository><r:upstream>https://github.com/cran/nose</r:upstream></item></channel></rss>