<?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>ivanharvard.r-universe.dev</title><link>https://ivanharvard.r-universe.dev</link><description>Recent package updates in ivanharvard</description><generator>R-universe</generator><image><url>https://github.com/ivanharvard.png</url><title>R packages by ivanharvard</title><link>https://ivanharvard.r-universe.dev</link></image><lastBuildDate>Sun, 27 Sep 2026 00:13:52 GMT</lastBuildDate><item><title>[ivanharvard] prspace 0.2.0</title><author>gutierrezi0222@gmail.com (Ivan Gutierrez)</author><description>Write probability statements such as 'Pr[X == 0] &lt;- 0.25'
and read them back with 'Pr[X == 0]'. Events can declare their
support (real, integer, count, or a finite set), and anything
the rules of probability then pin down, such as complements and
totals, is derived. Assignments that contradict earlier ones
are flagged with the range of values that would have been
consistent. A companion Python package on PyPI offers the same
syntax.</description><link>https://github.com/r-universe/ivanharvard/actions/runs/36286141334</link><pubDate>Sun, 27 Sep 2026 00:13:52 GMT</pubDate><r:package>prspace</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://ivanharvard.r-universe.dev</r:repository><r:upstream>https://github.com/ivanharvard/prspace</r:upstream></item></channel></rss>