<?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>santiago-pereda.r-universe.dev</title><link>https://santiago-pereda.r-universe.dev</link><description>Recent package updates in santiago-pereda</description><generator>R-universe</generator><image><url>https://github.com/santiago-pereda.png</url><title>R packages by santiago-pereda</title><link>https://santiago-pereda.r-universe.dev</link></image><lastBuildDate>Wed, 16 Apr 2025 20:10:02 GMT</lastBuildDate><item><title>[santiago-pereda] fastqrs 1.0.0</title><author>santiagopereda@gmail.com (Santiago Pereda-Fernandez)</author><description>Fast estimation algorithms to implement the Quantile
Regression with Selection estimator and the multiplicative
Bootstrap for inference. This estimator can be used to estimate
models that feature sample selection and heterogeneous effects
in cross-sectional data. For more details, see Arellano and
Bonhomme (2017) &lt;doi:10.3982/ECTA14030&gt; and Pereda-Fernández
(2024) &lt;doi:10.48550/arXiv.2402.16693&gt;.</description><link>https://github.com/r-universe/santiago-pereda/actions/runs/27817565060</link><pubDate>Wed, 16 Apr 2025 20:10:02 GMT</pubDate><r:package>fastqrs</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://santiago-pereda.r-universe.dev</r:repository><r:upstream>https://github.com/cran/fastqrs</r:upstream><r:article><r:source>example.Rmd</r:source><r:filename>example.html</r:filename><r:title>Fast Algorithms for Quantile Regression with Selection: A Vignette</r:title><r:created>2025-04-16 20:10:02</r:created><r:modified>2025-04-16 20:10:02</r:modified></r:article></item></channel></rss>