<?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>flmnh-ai.r-universe.dev</title><link>https://flmnh-ai.r-universe.dev</link><description>Recent package updates in flmnh-ai</description><generator>R-universe</generator><image><url>https://github.com/flmnh-ai.png</url><title>R packages by flmnh-ai</title><link>https://flmnh-ai.r-universe.dev</link></image><lastBuildDate>Wed, 03 Jun 2026 20:19:35 GMT</lastBuildDate><item><title>[flmnh-ai] yersinia 0.1.0</title><author>nicolas.gauthier@ufl.edu (Nick Gauthier)</author><description>A toolkit for plague transmission modeling using
stochastic compartmental models. Implements carcass-based
transmission dynamics (Didelot et al. 2017) with spatial
structure and multi-host dynamics for epidemiological research.</description><link>https://github.com/r-universe/flmnh-ai/actions/runs/26915925954</link><pubDate>Wed, 03 Jun 2026 20:19:35 GMT</pubDate><r:package>yersinia</r:package><r:version>0.1.0</r:version><r:status>failure</r:status><r:repository>https://flmnh-ai.r-universe.dev</r:repository><r:upstream>https://github.com/flmnh-ai/yersinia</r:upstream></item><item><title>[flmnh-ai] petrographer 0.0.0.9000</title><author>nicolas.gauthier@ufl.edu (Nicolas Gauthier)</author><description>Automated petrographic analysis of thin section images
using deep learning models. Provides tools for training RF-DETR
detection and segmentation models, running predictions with
SAHI (Slicing Aided Hyper Inference), calculating morphological
properties, and analyzing results. Supports both local and HPC
training workflows with seamless R-Python integration via
reticulate.</description><link>https://github.com/r-universe/flmnh-ai/actions/runs/26218769776</link><pubDate>Tue, 21 Apr 2026 17:27:24 GMT</pubDate><r:package>petrographer</r:package><r:version>0.0.0.9000</r:version><r:status>success</r:status><r:repository>https://flmnh-ai.r-universe.dev</r:repository><r:upstream>https://github.com/flmnh-ai/petrographer</r:upstream><r:article><r:source>analyzing-predictions.qmd</r:source><r:filename>analyzing-predictions.html</r:filename><r:title>Analyzing Predictions</r:title><r:created>2026-04-21 15:53:56</r:created><r:modified>2026-04-21 15:53:56</r:modified></r:article><r:article><r:source>training-models.qmd</r:source><r:filename>training-models.html</r:filename><r:title>Training Custom Models</r:title><r:created>2025-10-14 01:04:27</r:created><r:modified>2026-04-21 15:53:56</r:modified></r:article><r:article><r:source>whole-slide-basics.qmd</r:source><r:filename>whole-slide-basics.html</r:filename><r:title>Whole-Slide Prediction Basics</r:title><r:created>2025-10-14 01:04:27</r:created><r:modified>2026-04-21 15:53:56</r:modified></r:article></item><item><title>[flmnh-ai] tidyeof 0.1.0</title><author>nicolas.gauthier@ufl.edu (Nicolas Gauthier)</author><description>An R package for conducting empirical orthogonal function
(EOF) analysis in the tidyverse framework. Functions to isolate
modes of variability from spatiotemporal data, run various
diagnostics, and use these patterns for spatial downscaling via
canonical correlation analysis.</description><link>https://github.com/r-universe/flmnh-ai/actions/runs/26559632958</link><pubDate>Wed, 25 Feb 2026 21:56:49 GMT</pubDate><r:package>tidyeof</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://flmnh-ai.r-universe.dev</r:repository><r:upstream>https://github.com/nick-gauthier/tidyeof</r:upstream><r:article><r:source>cross-validation.qmd</r:source><r:filename>cross-validation.html</r:filename><r:title>Cross-Validation and Tuning</r:title><r:created>2026-02-25 21:02:14</r:created><r:modified>2026-02-25 21:02:14</r:modified></r:article><r:article><r:source>eof-analysis.qmd</r:source><r:filename>eof-analysis.html</r:filename><r:title>EOF Analysis with tidyeof</r:title><r:created>2026-02-25 21:02:14</r:created><r:modified>2026-02-25 21:02:14</r:modified></r:article><r:article><r:source>downscaling.qmd</r:source><r:filename>downscaling.html</r:filename><r:title>Statistical Downscaling with CCA</r:title><r:created>2026-02-25 21:02:14</r:created><r:modified>2026-02-25 21:02:14</r:modified></r:article></item><item><title>[flmnh-ai] tidyvec 0.1.0</title><author>nicolas.gauthier@ufl.edu (Nicolas Gauthier)</author><description>A lightweight vector database for storing and querying
embeddings within the tidyverse framework. Supports multimodal
(text and image) embeddings, nearest neighbor search, and
visualization, all with a tidyverse-friendly API.</description><link>https://github.com/r-universe/flmnh-ai/actions/runs/25844171071</link><pubDate>Thu, 16 Oct 2025 00:36:01 GMT</pubDate><r:package>tidyvec</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://flmnh-ai.r-universe.dev</r:repository><r:upstream>https://github.com/flmnh-ai/tidyvec</r:upstream><r:article><r:source>getting-started.Rmd</r:source><r:filename>getting-started.html</r:filename><r:title>Getting Started with TidyVec</r:title><r:created>2025-02-25 18:49:18</r:created><r:modified>2025-10-16 00:29:21</r:modified></r:article></item><item><title>[flmnh-ai] hipergator 0.1.0</title><author>nicolas.gauthier@ufl.edu (Nicolas Gauthier)</author><description>Simple interface for submitting and managing SLURM jobs on
the University of Florida HiPerGator cluster. Provides
authentication, data transfer, job submission, monitoring, and
result retrieval with configuration management for streamlined
workflows.</description><link>https://github.com/r-universe/flmnh-ai/actions/runs/25987563840</link><pubDate>Tue, 14 Oct 2025 01:20:49 GMT</pubDate><r:package>hipergator</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://flmnh-ai.r-universe.dev</r:repository><r:upstream>https://github.com/flmnh-ai/hipergator</r:upstream></item></channel></rss>