<?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>probaverse.r-universe.dev</title><link>https://probaverse.r-universe.dev</link><description>Recent package updates in probaverse</description><generator>R-universe</generator><image><url>https://github.com/probaverse.png</url><title>R packages by probaverse</title><link>https://probaverse.r-universe.dev</link></image><lastBuildDate>Fri, 05 Jun 2026 09:24:53 GMT</lastBuildDate><item><title>[probaverse] famish 0.2.1</title><author>vincenzo.coia@gmail.com (Vincenzo Coia)</author><description>Fits probability distributions to data and plugs into the
'probaverse' suite of R packages so distribution objects are
ready for further manipulation and evaluation. Supports methods
such as maximum likelihood and L-moments, and provides
diagnostics including empirical ranking and quantile score.</description><link>https://github.com/r-universe/probaverse/actions/runs/27012029155</link><pubDate>Fri, 05 Jun 2026 09:24:53 GMT</pubDate><r:package>famish</r:package><r:version>0.2.1</r:version><r:status>success</r:status><r:repository>https://probaverse.r-universe.dev</r:repository><r:upstream>https://github.com/probaverse/famish</r:upstream><r:article><r:source>fitting.Rmd</r:source><r:filename>fitting.html</r:filename><r:title>Fitting Distribution Families with famish</r:title><r:created>2025-11-11 09:41:43</r:created><r:modified>2025-11-12 16:13:46</r:modified></r:article></item><item><title>[probaverse] distionary 0.1.1.9000</title><author>vincenzo.coia@gmail.com (Vincenzo Coia)</author><description>Create and evaluate probability distribution objects from
a variety of families or define custom distributions.
Automatically compute distributional properties, even when they
have not been specified. This package supports statistical
modeling and simulations, and forms the core of the probaverse
suite of R packages.</description><link>https://github.com/r-universe/probaverse/actions/runs/26980741897</link><pubDate>Thu, 04 Jun 2026 20:41:31 GMT</pubDate><r:package>distionary</r:package><r:version>0.1.1.9000</r:version><r:status>success</r:status><r:repository>https://probaverse.r-universe.dev</r:repository><r:upstream>https://github.com/probaverse/distionary</r:upstream><r:article><r:source>specify-built-in.Rmd</r:source><r:filename>specify-built-in.html</r:filename><r:title>Built-In Distributions</r:title><r:created>2025-11-07 18:20:42</r:created><r:modified>2026-06-04 20:41:31</r:modified></r:article><r:article><r:source>evaluate.Rmd</r:source><r:filename>evaluate.html</r:filename><r:title>Evaluate a Distribution</r:title><r:created>2021-11-12 03:40:29</r:created><r:modified>2025-11-07 18:20:42</r:modified></r:article><r:article><r:source>pseudocode.Rmd</r:source><r:filename>pseudocode.html</r:filename><r:title>Pseudocode</r:title><r:created>2025-11-27 19:27:23</r:created><r:modified>2025-11-27 19:27:23</r:modified></r:article><r:article><r:source>specify-user-defined.Rmd</r:source><r:filename>specify-user-defined.html</r:filename><r:title>Specifying Your Own Distribution</r:title><r:created>2025-11-07 18:20:42</r:created><r:modified>2025-11-07 21:23:38</r:modified></r:article></item><item><title>[ropensci] distionary 0.1.1.9000</title><author>vincenzo.coia@gmail.com (Vincenzo Coia)</author><description>Create and evaluate probability distribution objects from
a variety of families or define custom distributions.
Automatically compute distributional properties, even when they
have not been specified. This package supports statistical
modeling and simulations, and forms the core of the probaverse
suite of R packages.</description><link>https://github.com/r-universe/ropensci/actions/runs/26981065815</link><pubDate>Thu, 04 Jun 2026 20:41:31 GMT</pubDate><r:package>distionary</r:package><r:version>0.1.1.9000</r:version><r:status>success</r:status><r:repository>https://ropensci.r-universe.dev</r:repository><r:upstream>https://github.com/probaverse/distionary</r:upstream><r:article><r:source>specify-built-in.Rmd</r:source><r:filename>specify-built-in.html</r:filename><r:title>Built-In Distributions</r:title><r:created>2025-11-07 18:20:42</r:created><r:modified>2026-06-04 20:41:31</r:modified></r:article><r:article><r:source>evaluate.Rmd</r:source><r:filename>evaluate.html</r:filename><r:title>Evaluate a Distribution</r:title><r:created>2021-11-12 03:40:29</r:created><r:modified>2025-11-07 18:20:42</r:modified></r:article><r:article><r:source>pseudocode.Rmd</r:source><r:filename>pseudocode.html</r:filename><r:title>Pseudocode</r:title><r:created>2025-11-27 19:27:23</r:created><r:modified>2025-11-27 19:27:23</r:modified></r:article><r:article><r:source>specify-user-defined.Rmd</r:source><r:filename>specify-user-defined.html</r:filename><r:title>Specifying Your Own Distribution</r:title><r:created>2025-11-07 18:20:42</r:created><r:modified>2025-11-07 21:23:38</r:modified></r:article></item><item><title>[probaverse] probaverse 0.1.0</title><author>vincenzo.coia@gmail.com (Vincenzo Coia)</author><description>The 'probaverse' is a suite of packages designed to
facilitate creating advanced statistical models through
probability distributions. These packages work best when loaded
together because they share a common design philosophy and
focus on different aspects of developing statistical models.
Inspired by the 'tidyverse' package, the 'probaverse' package
makes it easy to load the entire suite of 'probaverse' packages
together.</description><link>https://github.com/r-universe/probaverse/actions/runs/27012298786</link><pubDate>Mon, 08 Dec 2025 21:57:01 GMT</pubDate><r:package>probaverse</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://probaverse.r-universe.dev</r:repository><r:upstream>https://github.com/probaverse/probaverse</r:upstream></item><item><title>[probaverse] distplyr 0.2.0</title><author>vincenzo.coia@gmail.com (Vincenzo Coia)</author><description>Go beyond standard probability distributions such as the
Normal or Exponential by combining, shifting, maximizing, and
otherwise transforming distributions with simple, verb-based
functions. Provides easy access to a broader space of
distributions more representative of real-world systems such as
river flows or insurance claims. Part of the probaverse
framework of packages to support advanced statistical modeling
and simulations with an intuitive workflow.</description><link>https://github.com/r-universe/probaverse/actions/runs/26981033452</link><pubDate>Mon, 01 Dec 2025 17:58:55 GMT</pubDate><r:package>distplyr</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://probaverse.r-universe.dev</r:repository><r:upstream>https://github.com/probaverse/distplyr</r:upstream><r:article><r:source>manipulating.Rmd</r:source><r:filename>manipulating.html</r:filename><r:title>Manipulating Distributions</r:title><r:created>2020-11-22 05:02:19</r:created><r:modified>2025-11-25 09:52:12</r:modified></r:article></item></channel></rss>