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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>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr, ggplot2, mvtnorm, interp, clue, ggExtra, gridExtra, DescTools, MASS |
| Published: | 2024-11-21 |
| Author: | Naman Agrawal [aut, cre] |
| Maintainer: | Naman Agrawal <naman.agr03 at gmail.com> |
| BugReports: | https://github.com/namanlab/covalchemy/issues |
| License: | GPL-3 |
| URL: | https://github.com/namanlab/covalchemy |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | covalchemy results |
| Reference manual: | covalchemy.pdf |
| Package source: | covalchemy_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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These binaries (installable software) and packages are in development.
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