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.
Version: 0.3.1 Depends: R (≥ 3.3) Imports: graphics, grDevices, stats Suggests: covr, knitr, pillar, rmarkdown, spelling, testthat, vdiffr Published: 2023-05-12 DOI: 10.32614/CRAN.package.pdqr Author: Evgeni Chasnovski [aut, cre] Maintainer: Evgeni Chasnovski <evgeni.chasnovski at gmail.com> BugReports: https://github.com/echasnovski/pdqr/issues License: MIT + file LICENSE URL: https://github.com/echasnovski/pdqr, https://echasnovski.github.io/pdqr/ NeedsCompilation: no Language: en-US Materials: README, NEWS CRAN checks: pdqr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=pdqr to link to this page.
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