<?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>sosthenea.r-universe.dev</title><link>https://sosthenea.r-universe.dev</link><description>Recent package updates in sosthenea</description><generator>R-universe</generator><image><url>https://github.com/sosthenea.png</url><title>R packages by sosthenea</title><link>https://sosthenea.r-universe.dev</link></image><lastBuildDate>Tue, 17 Mar 2026 18:29:01 GMT</lastBuildDate><item><title>[sosthenea] RHISEA 0.1.0</title><author>sosthene.akia@dfo-mpo.gc.ca (Sosthene A. V. Akia)</author><description>RHISEA modernizes Millar's HISEA (1987,1990) methodology
for reproducible mixed-stock analysis. RHISEA provides a
flexible and reproducible framework for mixed-stock analysis in
fisheries and ecology. Modernizes legacy workflows by
integrating modern statistical classifiers (LDA, RF, MCLUST,
SVM, etc.) and estimators (EM, ML, COOK). Includes simulation
frameworks, bootstrap resampling, and complete analysis
workflows for fisheries stock assessment and population
structure inference.</description><link>https://github.com/r-universe/sosthenea/actions/runs/29392425907</link><pubDate>Tue, 17 Mar 2026 18:29:01 GMT</pubDate><r:package>RHISEA</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://sosthenea.r-universe.dev</r:repository><r:upstream>https://github.com/SostheneA/RHISEA</r:upstream><r:article><r:source>Multiple_Classifiers.Rmd</r:source><r:filename>Multiple_Classifiers.html</r:filename><r:title>Comparing built-in classification methods in RHISEA for mixed-stock analysis</r:title><r:created>2025-08-13 17:00:13</r:created><r:modified>2026-03-17 02:05:44</r:modified></r:article><r:article><r:source>complex_mixed_stocks.Rmd</r:source><r:filename>complex_mixed_stocks.html</r:filename><r:title>Analyzing complex mixed-stock fisheries with 20 stocks</r:title><r:created>2025-10-31 09:02:30</r:created><r:modified>2026-03-17 01:27:47</r:modified></r:article><r:article><r:source>Custom_Classification_Models.Rmd</r:source><r:filename>Custom_Classification_Models.html</r:filename><r:title>Applying HISEA estimators to custom classification models with run_hisea_estimates</r:title><r:created>2025-08-13 17:00:13</r:created><r:modified>2026-03-17 01:27:47</r:modified></r:article><r:article><r:source>Estimate_genetics_data.Rmd</r:source><r:filename>Estimate_genetics_data.html</r:filename><r:title>Genetic assignment to Mixed-Stock Analysis with RHISEA</r:title><r:created>2025-12-09 14:14:46</r:created><r:modified>2026-03-17 01:27:47</r:modified></r:article><r:article><r:source>RHISEA_comprehensive_Guide.Rmd</r:source><r:filename>RHISEA_comprehensive_Guide.html</r:filename><r:title>Comprehensive Guide to the RHISEA Package for Mixed-Stock Analysis</r:title><r:created>2025-10-31 09:38:59</r:created><r:modified>2026-03-17 01:27:47</r:modified></r:article><r:article><r:source>RHISEA_vs_Fortran.Rmd</r:source><r:filename>RHISEA_vs_Fortran.html</r:filename><r:title>Verifying compatibility: RHISEA (R) vs FORTRAN HISEA</r:title><r:created>2025-08-19 02:58:02</r:created><r:modified>2026-03-17 01:27:47</r:modified></r:article><r:article><r:source>RHISEA_data_type.Rmd</r:source><r:filename>RHISEA_data_type.html</r:filename><r:title>Two input paths in RHISEA: run_hisea_all with HISEA-style files or Dataframes</r:title><r:created>2025-08-19 02:58:02</r:created><r:modified>2026-03-17 02:05:44</r:modified></r:article></item></channel></rss>