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modgo  

Mock Data Generation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("modgo", "1.0.1")



Attach the package and use:
library("modgo")
Maintained by
Georgios Koliopanos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-11
Latest Update: 2024-09-11
Description:
Generation of synthetic data from a real dataset using the combination of rank normal inverse transformation with the calculation of correlation matrix <doi:10.1055/a-2048-7692>. Completely artificial data may be generated through the use of Generalized Lambda Distribution and Generalized Poisson Distribution <doi:10.1201/9781420038040>. Quantitative, binary, ordinal categorical, and survival data may be simulated. Functionalities are offered to generate synthetic data sets according to user's needs.
How to cite:
Georgios Koliopanos (2024). modgo: Mock Data Generation. R package version 1.0.1, https://cran.r-project.org/web/packages/modgo. Accessed 07 Mar. 2026.
Previous versions and publish date:
No previous versions
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View modgo citation profile
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Complete documentation for modgo
Functions, R codes and Examples using the modgo R package
Full modgo package functions and examples
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