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RVCompare
View on CRAN: Click
here
Download and install RVCompare package within the R console
Install from CRAN:
install.packages("RVCompare")
Install from Github:
library("remotes")
install_github("cran/RVCompare")
Install by package version:
library("remotes")
install_version("RVCompare", "0.1.8")
Attach the package and use:
library("RVCompare")
Maintained by
Etor Arza
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-17
Latest Update: 2023-08-21
Description:
A framework with tools to compare two random variables via stochastic dominance. See the README.md at for a quick start guide. It can compute the Cp and Cd of two probability distributions and the Cumulative Difference Plot as explained in E. Arza (2022) . Uses bootstrap or DKW-bounds to compute the confidence bands of the cumulative distributions. These two methods are described in B. Efron. (1979) and P. Massart (1990) .
How to cite:
Etor Arza (2021). RVCompare: Compare Real Valued Random Variables. R package version 0.1.8, https://cran.r-project.org/web/packages/RVCompare. Accessed 21 Dec. 2024.
Previous versions and publish date:
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Other R packages that RVCompare depends,
imports, suggests or enhances
Complete documentation for RVCompare
Functions, R codes and Examples using
the RVCompare R package
Some associated functions: CdFromDensities . CdFromProbMassFunctions . CpFromDensities . RVCompare . coerceToDifferenceArea . cpp_helper_from_ranks_to_integrable_values . cumulativeFromDensity . cumulative_difference_plot . getEmpiricalCumulativeDistributions . get_Y_AB_bounds_DKW . get_Y_AB_bounds_bootstrap . helperTrapezoidRule . helper_from_ranks_to_integrable_values . isFunctionDensity . isXlimsValid . lowestCommonMultiple . mixtureDensity . mixtureOfUniforms . normalDensity . plot_Y_AB . ranksOfObserved . sampleFromDensity . uniformDensity . xHasEnoughValues .
Some associated R codes: RVCompare.R . RcppExports.R . Full RVCompare package functions and examples
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