`famish` 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, …
Distributions become alive when they can be transformed. `distplyr` lets you
modify and reshape distributions—whether you're stretching, grafting,
maximizing, or something …
The foundation of the probaverse, `distionary` makes probability
distributions tangible with a flexible, generic framework. It offers a simple
interface for evaluating …
[Development in 2026] Complex systems often demand insight into
multiple variables and their relationships. `couple` enables you to construct
realistic multivariate distributions …