<?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>aedvdb.r-universe.dev</title><link>https://aedvdb.r-universe.dev</link><description>Recent package updates in aedvdb</description><generator>R-universe</generator><image><url>https://github.com/aedvdb.png</url><title>R packages by aedvdb</title><link>https://aedvdb.r-universe.dev</link></image><lastBuildDate>Sun, 31 Dec 2023 14:58:09 GMT</lastBuildDate><item><title>[lalvarezmat] EpiInvert 0.3.2</title><author>lalvarez@ulpgc.es (Luis Alvarez)</author><description>Using variational techniques we address some
epidemiological problems as the incidence curve decomposition
by inverting the renewal equation as described in Alvarez et
al. (2021) &lt;doi:10.1073/pnas.2105112118&gt; and Alvarez et al.
(2022) &lt;doi:10.3390/biology11040540&gt; or the estimation of the
functional relationship between epidemiological indicators. We
also propose a learning method for the short time forecast of
the trend incidence curve as described in Morel et al. (2022)
&lt;doi:10.1101/2022.11.05.22281904&gt;.</description><link>https://github.com/r-universe/lalvarezmat/actions/runs/37192372997</link><pubDate>Sun, 31 Dec 2023 14:58:09 GMT</pubDate><r:package>EpiInvert</r:package><r:version>0.3.2</r:version><r:status>success</r:status><r:repository>https://lalvarezmat.r-universe.dev</r:repository><r:upstream>https://github.com/lalvarezmat/epiinvert</r:upstream></item></channel></rss>