pdqr: 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.

Version: 0.3.0
Depends: R (≥ 3.3)
Imports: graphics, grDevices, stats
Suggests: covr, knitr, pillar, rmarkdown, spelling, testthat, vdiffr
Published: 2021-01-21
Author: Evgeni Chasnovski ORCID iD [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


Reference manual: pdqr.pdf
Vignettes: Create pdqr-functions with 'new_*()'
Convert pdqr-functions with 'as_*()'
Transform pdqr-functions with 'form_*()' and base operations
Summarize pdqr-functions with 'summ_*()'
Package source: pdqr_0.3.0.tar.gz
Windows binaries: r-devel: pdqr_0.3.0.zip, r-release: pdqr_0.3.0.zip, r-oldrel: pdqr_0.3.0.zip
macOS binaries: r-release: pdqr_0.3.0.tgz, r-oldrel: pdqr_0.3.0.tgz
Old sources: pdqr archive


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