<?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>jdberlinski.r-universe.dev</title><link>https://jdberlinski.r-universe.dev</link><description>Recent package updates in jdberlinski</description><generator>R-universe</generator><image><url>https://github.com/jdberlinski.png</url><title>R packages by jdberlinski</title><link>https://jdberlinski.r-universe.dev</link></image><lastBuildDate>Wed, 20 May 2026 23:22:13 GMT</lastBuildDate><item><title>[jdberlinski] kkmeans 0.1.3</title><author>jdberlinski@gmail.com (Josh Berlinski)</author><description>Implementations several algorithms for kernel k-means. The
default 'OTQT' algorithm is a fast alternative to standard
implementations of kernel k-means, particularly in cases with
many clusters. For a small number of clusters, the implemented
'MacQueen' method typically performs the fastest. For more
details and performance evaluations, see Berlinski and Maitra
(2025) &lt;doi:10.1002/sam.70032&gt;.</description><link>https://github.com/r-universe/jdberlinski/actions/runs/26202484680</link><pubDate>Wed, 20 May 2026 23:22:13 GMT</pubDate><r:package>kkmeans</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://jdberlinski.r-universe.dev</r:repository><r:upstream>https://github.com/jdberlinski/kkmeans</r:upstream></item><item><title>[cran] CircularBoxplots 0.1.2</title><author>jdberlinski@gmail.com (Josh Berlinski)</author><description>Plotting functions to create circular boxplots for grouped
data. The primary 2-dimensional version creates concentric
circular boxplots for specified groups, scaling the width of
each boxplot to adjust for human perception. The 3-dimensional
version maps these plots onto a torus which is suitable for
periodic circular data such as wind direction over the course
of a year. An example dataset of this type is provided for
reference. For examples of circular boxplots and additional
implementation details, see Berlinski et al. (2026)
&lt;doi:10.48550/arXiv.2602.05335&gt;.</description><link>https://github.com/r-universe/cran/actions/runs/25797969014</link><pubDate>Wed, 13 May 2026 10:46:53 GMT</pubDate><r:package>CircularBoxplots</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://cran.r-universe.dev</r:repository><r:upstream>https://github.com/cran/CircularBoxplots</r:upstream></item><item><title>[jdberlinski] CircularBoxplots 0.1.2</title><author>jdberlinski@gmail.com (Josh Berlinski)</author><description>Plotting functions to create circular boxplots for grouped
data. The primary 2-dimensional version creates concentric
circular boxplots for specified groups, scaling the width of
each boxplot to adjust for human perception. The 3-dimensional
version maps these plots onto a torus which is suitable for
periodic circular data such as wind direction over the course
of a year. An example dataset of this type is provided for
reference. For examples of circular boxplots and additional
implementation details, see Berlinski et al. (2026)
&lt;doi:10.48550/arXiv.2602.05335&gt;.</description><link>https://github.com/r-universe/jdberlinski/actions/runs/25849286982</link><pubDate>Fri, 08 May 2026 22:53:19 GMT</pubDate><r:package>CircularBoxplots</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://jdberlinski.r-universe.dev</r:repository><r:upstream>https://github.com/jdberlinski/circularboxplots</r:upstream></item></channel></rss>