<?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>cjhughes926.r-universe.dev</title><link>https://cjhughes926.r-universe.dev</link><description>Recent package updates in cjhughes926</description><generator>R-universe</generator><image><url>https://github.com/cjhughes926.png</url><title>R packages by cjhughes926</title><link>https://cjhughes926.r-universe.dev</link></image><lastBuildDate>Wed, 01 Jul 2026 12:15:10 GMT</lastBuildDate><item><title>[cjhughes926] TemporalModelR 0.3.0</title><author>connorhughes926@gmail.com (Connor Hughes)</author><description>Increases the ease of implementing a temporally-explicit
modeling methodology when building ecological niche and species
distribution models. Provides functions to assist with three
major steps of temporally-explicit models: (i) preprocessing
species and environmental data and generating suitable
background or pseudoabsence data, (ii) building a niche model
and generating temporally-explicit predictions from that model,
and (iii) model postprocessing to explore spatiotemporal trends
in model predictions. Methodological and theoretical
foundations are described in Ingenloff and Peterson (2021)
&lt;doi:10.1111/2041-210X.13564&gt;, Franklin (2010,
ISBN:9780521700023), Peterson et al. (2011,
ISBN:9780691136882), Blonder (2018) &lt;doi:10.1111/ecog.03187&gt;,
Senay et al. (2013) &lt;doi:10.1371/journal.pone.0071218&gt;, and Li
and Zhang (2024) &lt;doi:10.48550/arXiv.2404.05933&gt;.</description><link>https://github.com/r-universe/cjhughes926/actions/runs/28517820955</link><pubDate>Wed, 01 Jul 2026 12:15:10 GMT</pubDate><r:package>TemporalModelR</r:package><r:version>0.3.0</r:version><r:status>success</r:status><r:repository>https://cjhughes926.r-universe.dev</r:repository><r:upstream>https://github.com/cjhughes926/temporalmodelr</r:upstream><r:article><r:source>V1_dataset.Rmd</r:source><r:filename>V1_dataset.html</r:filename><r:title>About the Example Dataset </r:title><r:created>2026-05-21 21:15:43</r:created><r:modified>2026-06-22 20:07:03</r:modified></r:article><r:article><r:source>V3b_GAM.Rmd</r:source><r:filename>V3b_GAM.html</r:filename><r:title>3b. Modeling with a GAM</r:title><r:created>2026-05-22 00:40:17</r:created><r:modified>2026-06-09 16:40:26</r:modified></r:article><r:article><r:source>V3a_GLM.Rmd</r:source><r:filename>V3a_GLM.html</r:filename><r:title>3a. Modeling with a GLM</r:title><r:created>2026-05-21 21:15:43</r:created><r:modified>2026-06-09 16:40:26</r:modified></r:article><r:article><r:source>V3d_HV.Rmd</r:source><r:filename>V3d_HV.html</r:filename><r:title>3d. Modeling with a Hypervolume</r:title><r:created>2026-05-22 00:40:17</r:created><r:modified>2026-06-09 16:40:26</r:modified></r:article><r:article><r:source>V3c_RF.Rmd</r:source><r:filename>V3c_RF.html</r:filename><r:title>3c. Modeling with a Random Forest</r:title><r:created>2026-05-22 00:40:17</r:created><r:modified>2026-06-09 16:40:26</r:modified></r:article><r:article><r:source>V4_Postprocessing.Rmd</r:source><r:filename>V4_Postprocessing.html</r:filename><r:title>Post-processing predictions </r:title><r:created>2026-05-21 21:15:43</r:created><r:modified>2026-05-29 17:22:16</r:modified></r:article><r:article><r:source>V2_Preprocessing.Rmd</r:source><r:filename>V2_Preprocessing.html</r:filename><r:title>Preprocessing temporally explicit data </r:title><r:created>2026-05-21 21:15:43</r:created><r:modified>2026-06-29 19:19:57</r:modified></r:article></item></channel></rss>