<?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>sjevelazco.r-universe.dev</title><link>https://sjevelazco.r-universe.dev</link><description>Recent package updates in sjevelazco</description><generator>R-universe</generator><image><url>https://github.com/sjevelazco.png</url><title>R packages by sjevelazco</title><link>https://sjevelazco.r-universe.dev</link></image><lastBuildDate>Wed, 14 Oct 2026 19:57:49 GMT</lastBuildDate><item><title>[sjevelazco] flexsdm 1.4.2</title><author>sjevelazco@gmail.com (Santiago J.E. Velazco)</author><description>Provides a flexible and comprehensive workflow for species
distribution modeling, from data preparation (occurrence
filtering, calibration areas, pseudo-absence and background
sampling, data partitioning, and collinearity reduction) to
model fitting, tuning, evaluation, prediction, ensemble
modeling, and post-processing. The package is described in
Velazco et al. (2022) &lt;doi:10.1111/2041-210X.13874&gt;.
Implemented methods include the Shape metric to measure model
extrapolation of Velazco et al. (2023)
&lt;doi:10.1111/ecog.06992&gt;, ensembles of small models of Breiner
et al. (2015) &lt;doi:10.1111/2041-210X.12403&gt; and Breiner et al.
(2018) &lt;doi:10.1111/2041-210X.12957&gt;, Gaussian process models
of Golding and Purse (2016) &lt;doi:10.1111/2041-210X.12523&gt;, and
occurrence-based constraints for post-processing predictions of
Mendes et al. (2020) &lt;doi:10.1016/j.ecolmodel.2020.109180&gt;.</description><link>https://github.com/r-universe/sjevelazco/actions/runs/40184308679</link><pubDate>Wed, 14 Oct 2026 19:57:49 GMT</pubDate><r:package>flexsdm</r:package><r:version>1.4.2</r:version><r:status>success</r:status><r:repository>https://sjevelazco.r-universe.dev</r:repository><r:upstream>https://github.com/sjevelazco/flexsdm</r:upstream><r:article><r:source>v05_Rare_species_example.Rmd</r:source><r:filename>v05_Rare_species_example.html</r:filename><r:title>flexsdm: Modeling a rare species</r:title><r:created>2022-02-22 22:16:45</r:created><r:modified>2026-10-01 19:51:53</r:modified></r:article><r:article><r:source>v02_modeling.Rmd</r:source><r:filename>v02_modeling.html</r:filename><r:title>flexsdm: Overview of Modeling functions</r:title><r:created>2022-02-22 22:16:45</r:created><r:modified>2026-10-01 19:51:53</r:modified></r:article><r:article><r:source>v03_post_modeling.Rmd</r:source><r:filename>v03_post_modeling.html</r:filename><r:title>flexsdm: Overview of Post-modeling functions</r:title><r:created>2022-02-22 22:16:45</r:created><r:modified>2026-10-01 19:51:53</r:modified></r:article><r:article><r:source>v01_pre_modeling.Rmd</r:source><r:filename>v01_pre_modeling.html</r:filename><r:title>flexsdm: Overview of Pre-modeling functions</r:title><r:created>2022-02-22 22:16:45</r:created><r:modified>2026-10-01 19:51:53</r:modified></r:article><r:article><r:source>v04_Red_fir_example.Rmd</r:source><r:filename>v04_Red_fir_example.html</r:filename><r:title>flexsdm: Red Fir example</r:title><r:created>2022-02-22 22:16:45</r:created><r:modified>2026-10-14 19:14:33</r:modified></r:article><r:article><r:source>v06_Extrapolation_example.Rmd</r:source><r:filename>v06_Extrapolation_example.html</r:filename><r:title>flexsdm: Tools to explore extrapolation in SDMs</r:title><r:created>2023-09-29 13:19:15</r:created><r:modified>2026-10-01 19:51:53</r:modified></r:article><r:article><r:source>v07_Complete_workflow.Rmd</r:source><r:filename>v07_Complete_workflow.html</r:filename><r:title>Species distribution modeling for several species and climate change scenarios</r:title><r:created>2025-09-11 21:21:16</r:created><r:modified>2026-09-25 22:42:01</r:modified></r:article><r:article><r:source>pkg_citation.Rmd</r:source><r:filename>pkg_citation.html</r:filename><r:title>Where flexsdm was cited?</r:title><r:created>2025-08-28 19:36:06</r:created><r:modified>2026-09-23 21:24:30</r:modified></r:article></item></channel></rss>