Work with Custom Distribution Functions

Create, transform, and summarize custom random variables with distribution functions (analogues of 'p*()', 'd*()', 'q*()', and 'r*()' functions from base R). Two types of distributions are supported: "discrete" (random variable has finite number of output values) and "continuous" (infinite number of values in the form of continuous random variable). Functions for distribution transformations and summaries are available. Implemented approaches often emphasize approximate and numerical solutions: all distributions assume finite support and finite values of density function; some methods implemented with simulation techniques.


Reference manual

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0.3.0 by Evgeni Chasnovski, a year ago,

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Authors: Evgeni Chasnovski [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports graphics, grDevices, stats

Suggests covr, knitr, pillar, rmarkdown, spelling, testthat, vdiffr

See at CRAN