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pdqr  

Work with Custom Distribution Functions
View on CRAN: Click here


Download and install pdqr package within the R console
Install from CRAN:
install.packages("pdqr")

Install from Github:
library("remotes")
install_github("cran/pdqr")

Install by package version:
library("remotes")
install_version("pdqr", "0.3.1")



Attach the package and use:
library("pdqr")
Maintained by
Evgeni Chasnovski
[Scholar Profile | Author Map]
First Published: 2019-11-06
Latest Update: 2023-05-12
Description:
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.
How to cite:
Evgeni Chasnovski (2019). pdqr: Work with Custom Distribution Functions. R package version 0.3.1, https://cran.r-project.org/web/packages/pdqr. Accessed 05 Apr. 2025.
Previous versions and publish date:
0.2.0 (2019-11-06 16:40), 0.2.1 (2019-12-15 17:50), 0.3.0 (2021-01-22 00:20)
Other packages that cited pdqr R package
View pdqr citation profile
Other R packages that pdqr depends, imports, suggests or enhances
Complete documentation for pdqr
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