<?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>akipingu.r-universe.dev</title><link>https://akipingu.r-universe.dev</link><description>Recent package updates in akipingu</description><generator>R-universe</generator><image><url>https://github.com/akipingu.png</url><title>R packages by akipingu</title><link>https://akipingu.r-universe.dev</link></image><lastBuildDate>Wed, 15 Apr 2026 20:09:57 GMT</lastBuildDate><item><title>[akipingu] simpowa 1.0.3</title><author>akipingu@ihi.or.tz (Andrea M. Kipingu)</author><description>Uses simulations from generalized linear mixed-effects
models to incorporate random effects across multiple sources
and levels of variation, and a dispersion parameter to account
for overdispersion and capture unexplained variability. Covers
design scenarios for both short-term and long-term trials
evaluating the impact of single or combined vector control
interventions. Methods build on Kipingu et al. (2025)
&lt;doi:10.1186/s12936-025-05454-y&gt; and Johnson et al. (2015)
&lt;doi:10.1111/2041-210X.12306&gt;.</description><link>https://github.com/r-universe/akipingu/actions/runs/25909735229</link><pubDate>Wed, 15 Apr 2026 20:09:57 GMT</pubDate><r:package>simpowa</r:package><r:version>1.0.3</r:version><r:status>success</r:status><r:repository>https://akipingu.r-universe.dev</r:repository><r:upstream>https://github.com/akipingu/simpowa</r:upstream></item></channel></rss>