<?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>sdmtmb.r-universe.dev</title><link>https://sdmtmb.r-universe.dev</link><description>Recent package updates in sdmtmb</description><generator>R-universe</generator><image><url>https://github.com/sdmtmb.png</url><title>R packages by sdmtmb</title><link>https://sdmtmb.r-universe.dev</link></image><lastBuildDate>Fri, 22 May 2026 21:26:02 GMT</lastBuildDate><item><title>[sdmtmb] sdmTMB 1.0.0.9011</title><author>sean@seananderson.ca (Sean C. Anderson)</author><description>Implements spatial and spatiotemporal GLMMs (Generalized
Linear Mixed Effect Models) using 'TMB', 'fmesher', and the
SPDE (Stochastic Partial Differential Equation) Gaussian Markov
random field approximation to Gaussian random fields. One
common application is for spatially explicit species
distribution models (SDMs). See Anderson et al. (2025)
&lt;doi:10.18637/jss.v115.i02&gt;.</description><link>https://github.com/r-universe/sdmtmb/actions/runs/26314219470</link><pubDate>Fri, 22 May 2026 21:26:02 GMT</pubDate><r:package>sdmTMB</r:package><r:version>1.0.0.9011</r:version><r:status>success</r:status><r:repository>https://sdmtmb.r-universe.dev</r:repository><r:upstream>https://github.com/sdmtmb/sdmtmb</r:upstream><r:article><r:source>model-description.Rmd</r:source><r:filename>model-description.html</r:filename><r:title>sdmTMB model description</r:title><r:created>2020-10-05 19:40:10</r:created><r:modified>2026-05-15 05:51:16</r:modified></r:article></item></channel></rss>