<?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>ctesta01.r-universe.dev</title><link>https://ctesta01.r-universe.dev</link><description>Recent package updates in ctesta01</description><generator>R-universe</generator><image><url>https://github.com/ctesta01.png</url><title>R packages by ctesta01</title><link>https://ctesta01.r-universe.dev</link></image><lastBuildDate>Tue, 13 Oct 2026 21:24:49 GMT</lastBuildDate><item><title>[ctesta01] nadir 1.0.0</title><author>ctesta@hsph.harvard.edu (Christian Testa)</author><description>A functional programming based implementation of the super
learner algorithm with an emphasis on supporting the use of
formulas to specify learners. This approach offers several
improvements compared to past implementations including the
ability to easily use random-effects specified in formulas
(like y ~ (age | strata) + ...) and construction of new
learners is as simple as writing and passing a new function.
The super learner algorithm was originally described in van der
Laan et al. (2007)
&lt;https://biostats.bepress.com/ucbbiostat/paper222/&gt;.</description><link>https://github.com/r-universe/ctesta01/actions/runs/38485060750</link><pubDate>Tue, 13 Oct 2026 21:24:49 GMT</pubDate><r:package>nadir</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://ctesta01.r-universe.dev</r:repository><r:upstream>https://github.com/ctesta01/nadir</r:upstream><r:article><r:source>Basic-Examples.Rmd</r:source><r:filename>Basic-Examples.html</r:filename><r:title>Basic Examples</r:title><r:created>2026-01-05 17:03:46</r:created><r:modified>2026-10-10 17:17:29</r:modified></r:article></item></channel></rss>