Nothing
covalchemy: Constructing Joint Distributions with Control Over Statistical Properties
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Naman Agrawal [aut, cre] |
| Maintainer | Naman Agrawal <naman.agr03@gmail.com> |
| License | GPL-3 |
| Version | 1.0.0 |
| URL | https://github.com/namanlab/covalchemy |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the covalchemy package in your browser
Any scripts or data that you put into this service are public.
