distplyr-package: distplyr: Manipulate and Combine Probability Distributions
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.
Arguments
Author
Maintainer: Vincenzo Coia vincenzo.coia@gmail.com [copyright holder]
Other contributors:
Amogh Joshi [contributor]
Shuyi Tan [contributor]
Zhipeng Zhu [contributor]
Details
The distplyr package provides tools for manipulating probability distributions using intuitive syntax. Key features include:
Arithmetic operators: Use +, -, *, /, and ^ with distributions.
See Ops.dst() for details.
Mathematical functions: Use log(), exp(), log10(), and sqrt()
with distributions. See Math.dst() for details.
Transformation functions: Use shift(), multiply(), flip(),
and invert() to transform distributions. See ?linear_transform for
details.
Mixing distributions: Use mix() to create mixture distributions.