<?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>subhradip25.r-universe.dev</title><link>https://subhradip25.r-universe.dev</link><description>Recent package updates in subhradip25</description><generator>R-universe</generator><image><url>https://github.com/subhradip25.png</url><title>R packages by subhradip25</title><link>https://subhradip25.r-universe.dev</link></image><lastBuildDate>Thu, 01 May 2025 10:30:01 GMT</lastBuildDate><item><title>[subhradip25] statdecideR 0.1.6</title><author>subhradip25@gmail.com (Subhradip Bhattacharjee)</author><description>A lightweight tool that provides a reproducible workflow
for selecting and executing appropriate statistical analysis in
one-way or two-way experimental designs. The package
automatically checks for data normality, conducts parametric
(ANOVA) or non-parametric (Kruskal-Wallis) tests, performs
post-hoc comparisons with Compact Letter Displays (CLD), and
generates publication-ready boxplots, faceted plots, and
heatmaps. It is designed for researchers seeking fast,
automated statistical summaries and visualization. Based on
established statistical methods including Shapiro and Wilk
(1965) &lt;doi:10.2307/2333709&gt;, Kruskal and Wallis (1952)
&lt;doi:10.1080/01621459.1952.10483441&gt;, Tukey (1949)
&lt;doi:10.2307/3001913&gt;, Fisher (1925) &lt;ISBN:0050021702&gt;, and
Wickham (2016) &lt;ISBN:978-3-319-24277-4&gt;.</description><link>https://github.com/r-universe/subhradip25/actions/runs/26149352176</link><pubDate>Thu, 01 May 2025 10:30:01 GMT</pubDate><r:package>statdecideR</r:package><r:version>0.1.6</r:version><r:status>success</r:status><r:repository>https://subhradip25.r-universe.dev</r:repository><r:upstream>https://github.com/cran/statdecideR</r:upstream></item></channel></rss>