<?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>jonddowns.r-universe.dev</title><link>https://jonddowns.r-universe.dev</link><description>Recent package updates in jonddowns</description><generator>R-universe</generator><image><url>https://github.com/jonddowns.png</url><title>R packages by jonddowns</title><link>https://jonddowns.r-universe.dev</link></image><lastBuildDate>Tue, 14 Apr 2026 23:59:12 GMT</lastBuildDate><item><title>[fozzieverse] fozziejoin 0.0.14</title><author>jon@jondowns.net (Jon Downs)</author><description>Provides functions for joining data frames based on
inexact criteria, including string distance, Manhattan
distance, Euclidean distance, and interval overlap. This API is
designed as a modern, performance-oriented alternative to the
'fuzzyjoin' package (Robinson 2026)
&lt;doi:10.32614/CRAN.package.fuzzyjoin&gt;. String distance
functions utilizing 'q-grams' are adapted with permission from
the 'textdistance' 'Rust' crate (Orsinium 2024)
&lt;https://docs.rs/textdistance/latest/textdistance/&gt;. Other
string distance calculations rely on the 'rapidfuzz' 'Rust'
crate (Bachmann 2023)
&lt;https://docs.rs/rapidfuzz/0.5.0/rapidfuzz/&gt;. Interval joins
are backed by a Adelson-Velsky and Landis tree as implemented
by the 'interavl' 'Rust' crate
&lt;https://docs.rs/interavl/0.5.0/interavl/&gt;.</description><link>https://github.com/r-universe/fozzieverse/actions/runs/29312199111</link><pubDate>Tue, 14 Apr 2026 23:59:12 GMT</pubDate><r:package>fozziejoin</r:package><r:version>0.0.14</r:version><r:status>success</r:status><r:repository>https://fozzieverse.r-universe.dev</r:repository><r:upstream>https://github.com/fozzieverse/fozziejoin</r:upstream><r:article><r:source>overview.Rmd</r:source><r:filename>overview.html</r:filename><r:title>Fuzzy Matching with fozziejoin</r:title><r:created>2026-04-14 22:03:59</r:created><r:modified>2026-04-14 22:03:59</r:modified></r:article><r:article><r:source>string_dist_benchmarking.Rmd</r:source><r:filename>string_dist_benchmarking.html</r:filename><r:title>String Distance Benchmarking</r:title><r:created>2026-04-14 22:03:59</r:created><r:modified>2026-04-14 23:59:12</r:modified></r:article></item></channel></rss>