<?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>pjesscarter.r-universe.dev</title><link>https://pjesscarter.r-universe.dev</link><description>Recent package updates in pjesscarter</description><generator>R-universe</generator><image><url>https://github.com/pjesscarter.png</url><title>R packages by pjesscarter</title><link>https://pjesscarter.r-universe.dev</link></image><lastBuildDate>Tue, 23 Jun 2026 08:09:01 GMT</lastBuildDate><item><title>[pjesscarter] scR 0.7.0</title><author>pjc504@nyu.edu (Perry Carter)</author><description>Provides tools for estimating empirical sample complexity
bounds for supervised learning tasks. The package supports
simulation-based estimates of generalization curves, parametric
extrapolation of empirical sample complexity bounds,
theoretical bounds based on Vapnik-Chervonenkis dimension, and
optional monotone Gaussian process extrapolation for users who
install the external 'cmdstanr' workflow. For more details, see
Carter and Choi (2024) &lt;doi:10.31219/osf.io/evrcj&gt;.</description><link>https://github.com/r-universe/pjesscarter/actions/runs/28088829133</link><pubDate>Tue, 23 Jun 2026 08:09:01 GMT</pubDate><r:package>scR</r:package><r:version>0.7.0</r:version><r:status>success</r:status><r:repository>https://pjesscarter.r-universe.dev</r:repository><r:upstream>https://github.com/pjesscarter/scr</r:upstream></item></channel></rss>