<?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>modelinggreatsolutions.r-universe.dev</title><link>https://modelinggreatsolutions.r-universe.dev</link><description>Recent package updates in modelinggreatsolutions</description><generator>R-universe</generator><image><url>https://github.com/modelinggreatsolutions.png</url><title>R packages by modelinggreatsolutions</title><link>https://modelinggreatsolutions.r-universe.dev</link></image><lastBuildDate>Wed, 27 Nov 2019 08:19:04 GMT</lastBuildDate><item><title>[syneoshealth] puzzle 0.0.1</title><author>mario@modelinggreatsolutions.com (Mario Gonzalez Sales)</author><description>To Simplify the time consuming and error prone task of
assembling complex data sets for non-linear mixed effects
modeling. Users are able to select from different absorption
processes such as zero and first order, or a combination of
both. Furthermore, data sets containing data from several
entities, responses, and covariates can be simultaneously
assembled.</description><link>https://github.com/r-universe/syneoshealth/actions/runs/35703812359</link><pubDate>Wed, 27 Nov 2019 08:19:04 GMT</pubDate><r:package>puzzle</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://syneoshealth.r-universe.dev</r:repository><r:upstream>https://github.com/syneoshealth/puzzle</r:upstream></item></channel></rss>