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covalchemy  

Constructing Joint Distributions with Control Over Statistical Properties
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("covalchemy", "1.0.0")



Attach the package and use:
library("covalchemy")
Maintained by
Naman Agrawal
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-21
Latest Update: 2024-11-21
Description:
Synthesizing joint distributions from marginal densities, focusing on controlling key statistical properties such as correlation for continuous data, mutual information for categorical data, and inducing Simpson's Paradox. Generate datasets with specified correlation structures for continuous variables, adjust mutual information between categorical variables, and manipulate subgroup correlations to intentionally create Simpson's Paradox. Joe (1997) <doi:10.1201/b13150> Sklar (1959) <https://en.wikipedia.org/wiki/Sklar%27s_theorem>.
How to cite:
Naman Agrawal (2024). covalchemy: Constructing Joint Distributions with Control Over Statistical Properties. R package version 1.0.0, https://cran.r-project.org/web/packages/covalchemy. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for covalchemy
Functions, R codes and Examples using the covalchemy R package
Full covalchemy package functions and examples
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