<?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>anzonyquispe.r-universe.dev</title><link>https://anzonyquispe.r-universe.dev</link><description>Recent package updates in anzonyquispe</description><generator>R-universe</generator><image><url>https://github.com/anzonyquispe.png</url><title>R packages by anzonyquispe</title><link>https://anzonyquispe.r-universe.dev</link></image><lastBuildDate>Mon, 20 Jul 2026 15:26:40 GMT</lastBuildDate><item><title>[credible-answers] DIDmultiplegtDYN 2.4.0</title><author>anzony.quispe@gmail.com (Anzony Quispe)</author><description>Estimation of heterogeneity-robust
difference-in-differences estimators, with a binary, discrete,
or continuous treatment, in designs where past treatments may
affect the current outcome.</description><link>https://github.com/r-universe/credible-answers/actions/runs/38714335049</link><pubDate>Mon, 20 Jul 2026 15:26:40 GMT</pubDate><r:package>DIDmultiplegtDYN</r:package><r:version>2.4.0</r:version><r:status>success</r:status><r:repository>https://credible-answers.r-universe.dev</r:repository><r:upstream>https://github.com/credible-answers/did_multiplegt_dyn</r:upstream></item><item><title>[credible-answers] TwoWayFEWeights 2.1.0</title><author>anzony.quispe@gmail.com (Anzony Quispe)</author><description>Computes the implicit weights attached to two-way fixed
effects regressions, as well as summary measures of these
regressions' robustness to heterogeneous treatment effects.
Based on de Chaisemartin and D'Haultfoeuille (2020)
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Chaisemartin and D'Haultfoeuille.</description><link>https://github.com/r-universe/credible-answers/actions/runs/37615454225</link><pubDate>Thu, 09 Jul 2026 14:28:22 GMT</pubDate><r:package>DIDmultiplegt</r:package><r:version>2.1.0</r:version><r:status>success</r:status><r:repository>https://credible-answers.r-universe.dev</r:repository><r:upstream>https://github.com/credible-answers/did_multiplegt</r:upstream></item></channel></rss>