<?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>annafelip-badia.r-universe.dev</title><link>https://annafelip-badia.r-universe.dev</link><description>Recent package updates in annafelip-badia</description><generator>R-universe</generator><image><url>https://github.com/annafelip-badia.png</url><title>R packages by annafelip-badia</title><link>https://annafelip-badia.r-universe.dev</link></image><lastBuildDate>Mon, 07 Sep 2026 08:10:09 GMT</lastBuildDate><item><title>[annafelip-badia] BiMaUmisc 0.2.0</title><author>annafelipibadia@gmail.com (Anna Felip-Badia)</author><description>Contains a function to plot publication-ready survival
curves using the Kaplan-Meier method (1958)
&lt;doi:10.2307/2281868&gt;, a function to format p-values, and a
function to automatically select statistical tests for
comparing continuous variables between groups, which are useful
for repetitive analyses. BiMaU stands for the Biostatistics and
Mathematics Research Unit at the Sant Joan de Déu - Pediatric
Cancer Center Barcelona &lt;https://github.com/BiMaU-PCCB&gt;.</description><link>https://github.com/r-universe/annafelip-badia/actions/runs/37626029237</link><pubDate>Mon, 07 Sep 2026 08:10:09 GMT</pubDate><r:package>BiMaUmisc</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://annafelip-badia.r-universe.dev</r:repository><r:upstream>https://github.com/cran/BiMaUmisc</r:upstream></item><item><title>[annafelip-badia] TDIagree 0.2.0</title><author>annafelipibadia@gmail.com (Anna Felip-Badia)</author><description>The total deviation index (TDI) is an unscaled statistical
measure used to evaluate the deviation between paired
quantitative measurements when assessing the extent of
agreement between different raters. It describes a boundary
such that a large specified proportion of the differences in
paired measurements are within the boundary (Lin, 2000)
&lt;https://pubmed.ncbi.nlm.nih.gov/10641028/&gt;. This R package
implements some methodologies existing in the literature for
TDI estimation and inference in the case of two raters.</description><link>https://github.com/r-universe/annafelip-badia/actions/runs/35330929692</link><pubDate>Wed, 29 Oct 2025 11:20:02 GMT</pubDate><r:package>TDIagree</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://annafelip-badia.r-universe.dev</r:repository><r:upstream>https://github.com/cran/TDIagree</r:upstream></item></channel></rss>