<?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>guillermodeandajauregui.r-universe.dev</title><link>https://guillermodeandajauregui.r-universe.dev</link><description>Recent package updates in guillermodeandajauregui</description><generator>R-universe</generator><image><url>https://github.com/guillermodeandajauregui.png</url><title>R packages by guillermodeandajauregui</title><link>https://guillermodeandajauregui.r-universe.dev</link></image><lastBuildDate>Thu, 23 Jul 2026 19:11:34 GMT</lastBuildDate><item><title>[guillermodeandajauregui] sigPCA 0.1.0</title><author>gdeanda@inmegen.edu.mx (Guillermo de Anda-Jáuregui)</author><description>Identifies principal components whose eigenvalues exceed
those expected under noise. Implements analytical thresholds
derived from the Marchenko-Pastur distribution (Marchenko and
Pastur, 1967) &lt;doi:10.1070/SM1967v001n04ABEH001994&gt; and
empirical permutation tests, and provides functions for
visualizing observed and null eigenvalue spectra.</description><link>https://github.com/r-universe/guillermodeandajauregui/actions/runs/35713218796</link><pubDate>Thu, 23 Jul 2026 19:11:34 GMT</pubDate><r:package>sigPCA</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://guillermodeandajauregui.r-universe.dev</r:repository><r:upstream>https://github.com/guillermodeandajauregui/sigpca</r:upstream><r:article><r:source>sigPCA-iris.Rmd</r:source><r:filename>sigPCA-iris.html</r:filename><r:title>Finding structure in iris with sigPCA</r:title><r:created>2026-07-23 18:25:56</r:created><r:modified>2026-07-23 18:25:56</r:modified></r:article><r:article><r:source>sigPCA-penguins.Rmd</r:source><r:filename>sigPCA-penguins.html</r:filename><r:title>Finding structure in Palmer penguins with sigPCA</r:title><r:created>2026-07-23 18:25:56</r:created><r:modified>2026-07-23 18:25:56</r:modified></r:article><r:article><r:source>sigPCA.Rmd</r:source><r:filename>sigPCA.html</r:filename><r:title>sigPCA: Statistical Significance Testing for Principal Components</r:title><r:created>2025-07-23 17:49:44</r:created><r:modified>2025-07-23 17:49:44</r:modified></r:article></item><item><title>[bioc] punKEGGer 0.99.65</title><author>gdeanda@inmegen.edu.mx (Guillermo de Anda Jáuregui)</author><description>Provides tools to parse KEGG pathway KGML files into tidy
graphs, expand metanodes (e.g., multi-gene entries), annotate
them with custom dictionaries, and produce consistent
visualizations using ggraph. Enables integration of KEGG
pathways with tidygraph-based workflows.</description><link>https://github.com/r-universe/bioc/actions/runs/37075954171</link><pubDate>Fri, 10 Jul 2026 20:01:12 GMT</pubDate><r:package>punKEGGer</r:package><r:version>0.99.65</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/punKEGGer</r:upstream><r:article><r:source>punkegger-vignette-bioconductor.Rmd</r:source><r:filename>punkegger-vignette-bioconductor.html</r:filename><r:title>punKEGGer: parsing and visualization of KEGG pathways for network science</r:title><r:created>2025-07-22 05:13:48</r:created><r:modified>2026-07-10 20:01:12</r:modified></r:article></item></channel></rss>