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RSD  

Compares Random Distributions using Stochastic Dominance
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RSD", "0.2.0")



Attach the package and use:
library("RSD")
Maintained by
Shayan Tohidi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-17
Latest Update: 2025-06-21
Description:
The Stochastic Dominance (SD) is the classical way of comparing two random prospects, using their distribution functions. Almost Stochastic Dominance (ASD) has also been developed to cover the SD failures due to the extreme utility functions. This package focuses on classical and heuristic methods for testing the first and second SD and ASD methods given the probability mass function (PMF) of the random prospects. The goal is to apply these methods easily, efficiently, and effectively on real-world datasets. For more details see Hanoch and Levy (1969) <doi:10.2307/2296431>, Leshno and Levy (2002) <doi:10.1287/mnsc.48.8.1074.169>, and Tzeng et al. (2012) <doi:10.1287/mnsc.1120.1616>.
How to cite:
Shayan Tohidi (2025). RSD: Compares Random Distributions using Stochastic Dominance. R package version 0.2.0, https://cran.r-project.org/web/packages/RSD. Accessed 12 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:20), 0.1.0 (2025-06-17 08:10)
Other packages that cited RSD R package
View RSD citation profile
Other R packages that RSD depends, imports, suggests or enhances
Complete documentation for RSD
Functions, R codes and Examples using the RSD R package
Full RSD package functions and examples
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