famish
`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, …
•
1 min read
`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 …