https://probaverse.com/tags/probaverse-core/Probaverse-CoreHugo Blox Builder (https://hugoblox.com)en-usSun, 07 Dec 2025 00:00:00 +0000https://probaverse.com/media/logo_hu_79aef64b6fcb5c6e.pnghttps://probaverse.com/tags/probaverse-core/https://probaverse.com/r-pak/distionary/Sun, 07 Dec 2025 00:00:00 +0000https://probaverse.com/r-pak/distionary/<p>The foundation of the probaverse, <code>distionary</code> makes probability distributions tangible with a flexible, generic framework. It offers a simple interface for evaluating distributions, defining families based on parameters, and customizing your own distributions and evaluation methods.</p> <p>Learn more at </p>https://probaverse.com/r-pak/distplyr/Sun, 07 Dec 2025 00:00:00 +0000https://probaverse.com/r-pak/distplyr/<p>Distributions become alive when they can be transformed. <code>distplyr</code> lets you modify and reshape distributions—whether you&rsquo;re stretching, grafting, maximizing, or something else—giving you the tools to create entirely new families of distributions and expand the possibilities of your analysis.</p> <p>Learn more at </p>https://probaverse.com/r-pak/famish/Sun, 07 Dec 2025 00:00:00 +0000https://probaverse.com/r-pak/famish/<p><code>famish</code> refines a family of distributions to match real-world data or specific characteristics, such as a given mean or dataset. From parameter estimation to maximum likelihood, famish offers tools for selecting the best-fitting distribution for your needs.</p> <p>Learn more at </p>