<?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>anthonyfraziercsu.r-universe.dev</title><link>https://anthonyfraziercsu.r-universe.dev</link><description>Recent package updates in anthonyfraziercsu</description><generator>R-universe</generator><image><url>https://github.com/anthonyfraziercsu.png</url><title>R packages by anthonyfraziercsu</title><link>https://anthonyfraziercsu.r-universe.dev</link></image><lastBuildDate>Sun, 12 Oct 2025 21:16:42 GMT</lastBuildDate><item><title>[anthonyfraziercsu] nbpInference 1.0.2</title><author>anthony.frazier@colostate.edu (Anthony Frazier)</author><description>Conduct inference on the sample average treatment effect
for a matched (observational) dataset with a continuous
treatment. Equipped with calipered non-bipartite matching,
bias-corrected sample average treatment effect estimation, and
covariate-adjusted variance estimation. Matching, estimation,
and inference methods are described in Frazier, Heng and Zhou
(2024) &lt;doi:10.48550/arXiv.2409.11701&gt;.</description><link>https://github.com/r-universe/anthonyfraziercsu/actions/runs/25956041013</link><pubDate>Sun, 12 Oct 2025 21:16:42 GMT</pubDate><r:package>nbpInference</r:package><r:version>1.0.2</r:version><r:status>success</r:status><r:repository>https://anthonyfraziercsu.r-universe.dev</r:repository><r:upstream>https://github.com/anthonyfraziercsu/nbpinference</r:upstream></item></channel></rss>