<?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>ttarler.r-universe.dev</title><link>https://ttarler.r-universe.dev</link><description>Recent package updates in ttarler</description><generator>R-universe</generator><image><url>https://github.com/ttarler.png</url><title>R packages by ttarler</title><link>https://ttarler.r-universe.dev</link></image><lastBuildDate>Sun, 23 Nov 2025 17:25:27 GMT</lastBuildDate><item><title>[ttarler] tidydp 0.1.0</title><author>ttarler@gmail.com (Thomas Tarler)</author><description>A tidy-style interface for applying differential privacy
to data frames. Provides pipe-friendly functions to add
calibrated noise, compute private statistics, and track privacy
budgets using the epsilon-delta differential privacy framework.
Implements the Laplace mechanism (Dwork et al. 2006
&lt;doi:10.1007/11681878_14&gt;) and the Gaussian mechanism for
achieving differential privacy as described in Dwork and Roth
(2014) &lt;doi:10.1561/0400000042&gt;.</description><link>https://github.com/r-universe/ttarler/actions/runs/37927709120</link><pubDate>Sun, 23 Nov 2025 17:25:27 GMT</pubDate><r:package>tidydp</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://ttarler.r-universe.dev</r:repository><r:upstream>https://github.com/ttarler/tidydp</r:upstream><r:article><r:source>introduction.Rmd</r:source><r:filename>introduction.html</r:filename><r:title>Introduction to tidydp: Tidy Differential Privacy</r:title><r:created>2025-11-17 20:23:17</r:created><r:modified>2025-11-17 20:23:17</r:modified></r:article></item></channel></rss>