<?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>asadgudzevic94.r-universe.dev</title><link>https://asadgudzevic94.r-universe.dev</link><description>Recent package updates in asadgudzevic94</description><generator>R-universe</generator><image><url>https://github.com/asadgudzevic94.png</url><title>R packages by asadgudzevic94</title><link>https://asadgudzevic94.r-universe.dev</link></image><lastBuildDate>Sun, 01 Nov 2026 05:02:56 GMT</lastBuildDate><item><title>[asadgudzevic94] dmlrs 0.1.0</title><author>asadgudzevic94@gmail.com (Asad Gudzevic)</author><description>Double / debiased machine learning (Chernozhukov et al.,
2018, &lt;doi:10.1111/ectj.12097&gt;) for causal inference: partially
linear, interactive, instrumental variable and
difference-in-differences models with cross-fitted nuisance
functions, multiplier bootstrap and sensitivity analysis for
omitted confounding. Estimation, including the nuisance
learners (lasso, logistic regression, random forests, gradient
boosting), runs in Rust through the 'dml-core' crate, in
parallel. Results match the Python package 'dml-rs', which is
validated against 'DoubleML'.</description><link>https://github.com/r-universe/asadgudzevic94/actions/runs/41297003153</link><pubDate>Sun, 01 Nov 2026 05:02:56 GMT</pubDate><r:package>dmlrs</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://asadgudzevic94.r-universe.dev</r:repository><r:upstream>https://github.com/AsadGudzevic94/dml-rs</r:upstream></item></channel></rss>