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: | 0.2.1 |
| Depends: | R (≥ 3.3) |
| Imports: | graphics, stats |
| Suggests: | covr, grDevices, knitr, pillar, rmarkdown, spelling, testthat, vdiffr |
| Published: | 2019-12-15 |
| 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 |
| 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_0.2.1.tar.gz |
| Windows binaries: | r-devel: pdqr_0.2.1.zip, r-release: pdqr_0.2.1.zip, r-oldrel: pdqr_0.2.1.zip |
| macOS binaries: | r-release: pdqr_0.2.1.tgz, r-oldrel: pdqr_0.2.1.tgz |
| Old sources: | pdqr archive |
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