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rsdv  

Synthetic Tabular Data Generation with Gaussian Copulas
View on CRAN: Click here


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

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

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



Attach the package and use:
library("rsdv")
Maintained by
Kailas Venkitasubramanian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-08
Latest Update: 2026-06-09
Description:
Generates synthetic tabular data from real datasets using Gaussian copula models, with parametric marginal selection for numerical columns and a cumulative-frequency embedding that brings categorical and boolean columns into the same joint copula. Includes a metadata system with column types and primary keys, declarative constraints enforced via rejection sampling, conditional sampling, and quality, validity and privacy reports modeled on those of the 'SDMetrics' library. Inspired by the Python 'SDV' (Synthetic Data Vault) library by 'DataCebo'; see Patki, Wedge and Veeramachaneni (2016) "The Synthetic Data Vault" <doi:10.1109/DSAA.2016.49>.
How to cite:
Kailas Venkitasubramanian (2026). rsdv: Synthetic Tabular Data Generation with Gaussian Copulas. R package version 0.2.0, https://cran.r-project.org/web/packages/rsdv. Accessed 14 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:53), 0.1.0 (2026-06-08 17:00)
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Complete documentation for rsdv
Functions, R codes and Examples using the rsdv R package
Full rsdv package functions and examples
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